45 Data Acquisition Jobs - Page 2

Overview In this role, we are seeking an Associate Manager Offshore Program & Delivery Management to oversee program execution, governance, and service delivery across DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires expertise in offshore execution, cost optimization, automation strategies, and cross-functional collaboration to enhance operational excellence. Manage and support DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in real-time monitoring, automated alerting, and self-healing mechanisms to improve system reliability and performance. Contribute to the development and enforcement of governance models and operational frameworks to streamline service delivery and execution roadmaps. Support the standardization and automation of pipeline workflows, report generation, and dashboard refreshes to enhance efficiency. Collaborate with global teams to support Data & Analytics transformation efforts and ensure sustainable, scalable, and cost-effective operations. Assist in proactive issue identification and self-healing automation, enhancing the sustainment capabilities of the PepsiCo Data Estate. Responsibilities Support DataOps and SRE operations, assisting in offshore delivery of DataOps, BIOps, Data IntegrationOps, and related initiatives. Assist in implementing governance frameworks, tracking KPIs, and ensuring adherence to operational SLAs. Contribute to process standardization and automation efforts, improving service efficiency and scalability. Collaborate with onshore teams and business stakeholders, ensuring alignment of offshore activities with business needs. Monitor and optimize resource utilization, leveraging automation and analytics to improve productivity. Support continuous improvement efforts, identifying operational risks and ensuring compliance with security and governance policies. Assist in managing day-to-day DataOps activities, including incident resolution, SLA adherence, and stakeholder engagement. Participate in Agile work intake and management processes, contributing to strategic execution within data platform teams. Provide operational support for cloud infrastructure and data services, ensuring high availability and performance. Document and enhance operational policies and crisis management functions, supporting rapid incident response. Promote a customer-centric approach, ensuring high service quality and proactive issue resolution. Assist in team development efforts, fostering a collaborative and agile work environment. Adapt to changing priorities, supporting teams in maintaining focus on key deliverables. Qualifications 6+ years of technology experience in a global organization, preferably in the CPG industry. 4+ years of experience in Data & Analytics, with a foundational understanding of data engineering, data management, and operations. 3+ years of cross-functional IT experience, working with diverse teams and stakeholders. 12 years of leadership or coordination experience, supporting team operations and service delivery. Strong communication and collaboration skills, with the ability to convey technical concepts to non-technical audiences. Customer-focused mindset, ensuring high-quality service and responsiveness to business needs. Experience in supporting technical operations for enterprise data platforms, preferably in a Microsoft Azure environment. Basic understanding of Site Reliability Engineering (SRE) practices, including incident response, monitoring, and automation. Ability to drive operational stability, supporting proactive issue resolution and performance optimization. Strong analytical and problem-solving skills, with a continuous improvement mindset. Experience working in large-scale, data-driven environments, ensuring smooth operations of business-critical solutions. Ability to support governance and compliance initiatives, ensuring adherence to data standards and best practices. Familiarity with data acquisition, cataloging, and data management tools. Strong organizational skills, with the ability to manage multiple priorities effectively.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Job Information Job Opening ID ZR_2347_JOB Date Opened 19/08/2024 Industry Other Job Type Work Experience 6-10 years Job Title SAP Data Sphere Consultant City Tiruchirappalli Province Tamil Nadu Country India Postal Code 620001 Number of Positions 3 Exp Level6-8 Years in SAP Excellent business communicator, talk business language, customer facing skills with accountability & ownership of customer success. Problem Solver and team player. Open for Travel Domestic and International. Collaborate with clients to understand their business requirements and translate them into technical specs for data sphere and SAC. Experience in configuring, developing, testing, and deploying SAC. Experience in developing and configuring stories, dashboards, models, and data acquisition routinesin SAC. Familiarity with SAP BW / 4HANA and/or SAP HANA development best practices and/or SAP AnalyticsCloud APIs. Data modelling and data transformation in Data Sphere/SAC. Experience working on SAP BW bridge to integrate and transfer data between systems. Experience in developing and maintaining SAP Data Sphere - Tables, Views, Lookup, data flow, Taskchain. Experience in building SAC story, Models, Teams, Roles. Hands on expertise in Period closing and year closing processes. Should have hands on experience in preparing following key deliverable as per pre-defined projecttemplates. Qualifications: Any Graduate / Post Graduate check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Skill required: IX Product Engineering Services - Digital Site Designing Designation: Engineering Services Analyst Qualifications: BE Years of Experience: 3 to 5 years What would you do? The SCADA Display Builder will be responsible for designing, developing, and maintaining high-quality graphical user interfaces (GUIs) for the utility s Supervisory Control and Data Acquisition (SCADA) system. This role requires a strong understanding of power system operations, SCADA principles, and human machine interface (HMI) design. The candidate will be working on SCADA display building using relevant display development tools. Your key responsibilities will include: Designing and developing SCADA displays for various operational functions, including system overview, transmission, substation, circuits, areas and regional displays. Utilizing relevant tools to effectively to create dynamic and interactive displays. Focus on creating displays that are easy to understand and use. This involves using intuitive design principles, clear labeling, and effective use of color coding and symbols. Follow industry standards and best practices for SCADA display design, ensuring that your displays are reliable, consistent, and meet regulatory requirements. Integrating data from various sources, including real-time SCADA data, historical data, and GIS data. Thoroughly testing all displays to ensure accuracy, functionality, and reliability. What are we looking for? Electrical Engineering Adaptable and flexible Ability to work well in a team Numerical ability OSI Monarch and Design Studio EMS, ICCP, SOM Planner State Estimation, Contingency Analysis, CIM modelling, Power Flow Client Management Critical Thinking Data Reporting Roles and Responsibilities: OSI Monarch CAD DesignDisplay Development (similar to CAD drawings):Create single line drawings using OSI Monarch software.Develop accurate and detailed drawings displays from scratch or enrich converted output, ensuring adherence to defined display standards.Interpret base level engineering diagrams or existing displays to build new displays.Work closely with cross-functional teams, including engineers and product designers, clients and onshore team to understand specidicspecific requirements and specifications.Peer Review:Collaborate with team members to conduct thorough peer reviews of CAD drawingsEMS Displays.Provide constructive feedback to ensure the accuracy, completeness, and compliance of drawings with industry standards, internal display standards, and internal guidelines.Quality and DoucumentationDocumentation:Ensure the accuracy and completeness of CAD drawings,EMS Displays, addressing feedback from peer reviews, clients and project leadsMaintain organized and up-to-date documentation of drawings and changes incorporated.Assist in SIT in collaboration with clientsEnsure drawing display handover documentation is upto dateAdhere to predefined KPIs of accuracy, timeliness etc.Continuous Improvement:Stay current with industry trends and advancements in OSI Monarch CAD designdisplay building.Participate in training and development opportunities to enhance skills and knowledge. Qualifications BE

Manager, CSAR - Electronic Data Interchange and Acquisition Role Description The Manager, CSAR - Electronic Data Interchange and Acquisition will report to the Sr. Manager, Clinical System and Analytical Reporting, focusing on Electronic Data Interchange/Acquisition programming activities. This role involves developing the Data Acquisition Requirements Specification (DARS) document to outline metadata transfer requirements, establish and validate vendor integration criteria, and manage the processing of electronic data from vendors. The position requires cross-functional collaboration to ensure high-quality deliverables, support clinical systems, and oversee electronic data capture technologies. The Manager, CSAR will be responsible for study-level and portfolio-level quality and deliverables while also contributing to large system transformation projects with project management, subject matter expertise, partner engagement, and change management responsibilities. A strong leadership mindset and ability to influence partners is essential, along with individual contribution to study-specific and general CSAR/Global Development Operations projects. Responsibilities Support clinical trial platform technologies and ensure smooth operations. Enable data-driven decision-making by providing analytical insights. Coordinate and provide programming support to Clinical Study Teams. Collaborate with Clinical Data Management to meet study deliverables and timelines. Act as a technical point of contact for systems deliverables on defined programs. Develop the DARS document, specifying metadata transfer requirements. Set up and test RWS integration requirements, supporting study closure with final data loads and transfer discontinuation. Configure data upload gateways between external vendors and Amgen. Provide technical and business process expertise on new and emerging technologies. Develop, review, and implement policies, SOPs, and associated documents. Assist in preparing for and responding to audit findings (internal or external). Basic Qualifications Bachelor's degree in Life Sciences, Computer Science, Business Administration, or related field with 9-13 years of experience. Proven experience in managing teams. Specialist knowledge/experience in Life Sciences or a medically related field. General biopharmaceutical clinical research experience (clinical trial experience at biotech, pharmaceutical, or CROs). Preferred Qualifications Advanced degree or equivalent in Life Science, Computer Science, Math, Statistics, Business Administration, or a related field with 9-13 years of experience. Broad knowledge/work experience in data management/programming in the pharmaceutical or biotech industry. Proven experience in managing teams. Project management and planning experience. Experience overseeing outside vendors (CROs, central labs, imaging vendors, IRT vendors, etc.). Must-Have Skills Good Clinical Practice. Expertise in performance management techniques, measures, problem-solving, and analytical thinking. Understanding of drug development and clinical trial processes. Data management processes. Clinical trial database programming and applications. Experience collecting, maintaining, and supporting data cleaning controls for external (non-EDC) data. Proficiency in importing clinical study data from central labs and imaging vendors. Knowledge of the systems development lifecycle. Programming languages expertise. Project planning and management. Ability to collaborate with global cross-functional teams (team/matrix environment). Quality management and risk analysis. Regulatory filings and inspections expertise. Process improvement methodologies. Soft Skills Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.

Your Role We at Innovaccer are looking for a Software Development Engineer-III (Backend) to build the most amazing product experience. Youll get to work with other engineers to build a delightful feature experience to understand and solve our customers pain points A Day in the Life Building efficient and reusable applications and abstractions. Identify and communicate back-end best practices. Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA, and delivery Analyse and improve the performance, scalability, stability, and security of the product Improve engineering standards, tooling, and processes What You Need 6+ years of experience with a start-up mentality and a high willingness to learn Expert in Python, Go, or Java, and experience with any web framework (relevant to the language) Aggressive problem diagnosis and creative problem-solving skills Expert in Kubernetes and containerization. Experience in RDBMS & NoSQL databases such as Postgres and MongoDB, (any OLAP database is good to have). Experience in Solution Architecture. Experience in cloud service providers such as AWS or Azure. Experience in Kafka, RabbitMQ, or other queuing services is good to have. Working experience in Big Data / Distributed Systems and Async Programming is a must-have. Bachelor's degree in Computer Science/Software Engineering. What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices

Technical Writer Department: Information Technology Reports To Director of IT Project Management Critical features of this job are described under the headings below. They may be subject to change at any time due to reasonable accommodation or other reasons. Job Summary We are seeking a detail-oriented and experienced Technical Documentation Writer to join our team. The ideal candidate will have a strong background in technical writing and a passion for creating clear, concise, and user-friendly documentation. Additionally, you will oversee the implementation and utilization of learning technologies to facilitate training and education initiatives for internal teams and end-users. Essential Duties and Responsibilities Develop, write, and maintain high-quality technical documentation, including user manuals, API documentation, installation guides, and release notes. Collaborate with engineers, product managers, and other stakeholders to gather information and understand documentation requirements. Translate complex technical concepts into easy-to-understand content for various audiences. Ensure all documentation is accurate, comprehensive, and adheres to company standards and guidelines. Continuously update and improve existing documentation based on user feedback and product changes. Manage multiple documentation projects simultaneously and meet deadlines. Conduct regular reviews and edits of documentation to ensure clarity, consistency, and completeness Some travel maybe required. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Requirements Relevant bachelors degree (English, Technical Writing, Communications, Computer Science, Science, or related fields) Proven experience as a Technical Documentation Writer or similar role. Impeccable writing skills with a clear, concise and engaging writing style Experience managing projects and/or initiatives from conceptualization to full deployment and execution. Familiarity with software development processes and technologies. Ability to quickly grasp complex technical concepts and make them easily understandable in text and pictures Organize writing schedules to complete drafts of content or finished projects within deadlines Must be self-motivated, dependable, trainable and a team player Relentless attention to detail coupled with the ability to maintain focus on the big picture Experience in a Environmental Laboratory environment desirable but not essential Online documentation (i.e. searchable content) experience preferred. Experience 5+ years document writing experience or creation and delivery of in person or virtual trainings. Experience with Docebo and/or Easy Generator a plus. Knowledge Environmental Industry laboratory procedures and reporting Knowledge of LIM systems Knowledge of data acquisition systems Skilled with computers and laboratory software NOTEThis job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Additional duties may be included on an attachment.

Product Engineer / Sr. Product Engineer - Mechanical (Engine calibration, Data Analysis and SCR, DOC, DPF skills) We are seeking two highly skilled Product Engineer / Sr. Product Engineers - Mechanical with 4 to 6 years of experience. These critical roles involve performing IC Engine calibration / Testing activities to meet specified performance and emission . Your primary responsibilities will include hands-on engine testing on test beds, data acquisition, and in-depth data analysis to optimize engine parameters. A strong performance background and expertise in ATS (Aftertreatment System) tuning are essential, with a particular focus on system-level understanding of SCR (Selective Catalytic Reduction), DOC (Diesel Oxidation Catalyst), and DPF (Diesel Particulate Filter) diagnostic work experience. You will be responsible for developing and implementing calibration strategies to achieve optimal fuel efficiency, power output, and emission compliance. This role requires a deep understanding of internal combustion engine operation, exhaust aftertreatment technologies, and diagnostic protocols. You will collaborate closely with design, development, and validation teams to troubleshoot engine and aftertreatment system issues, contributing to robust and compliant engine solutions.

Job Summary We are seeking a highly motivated and experienced IT-OT Engineer to join our ENGIE India team. The ideal candidate will possess a strong technical IT-OT background and be prepared for extensive site travels to support onsite issues during the implementation, commissioning, and post-commissioning operations of solar and wind power plants, while base location will be Pune, India. Main Objectives The IT-OT Engineer for Renewable Sites will play a pivotal role in bridging the gap between Information Technology (IT) and Operational Technology (OT) to enhance the efficiency, reliability, and security of renewable energy plant operations. This position involves designing, implementing, and maintaining integrated systems that support the seamless operation of renewable energy sites, including wind, solar power plants. The engineer will ensure robust data communication, real-time monitoring, and control systems, while adhering to industry standards and best practices. The ideal candidate will possess expertise in Supervisory Control and Data Acquisition (SCADA) systems, IT-OT integration, and strong networking skills . Additionally, strong technical background, excellent problem-solving abilities, and a commitment to advancing sustainable energy solutions are essential. Key Responsibilities: System Monitoring and Maintenance: Oversee and optimize the technical IT-OT operations of renewable energy production infrastructures (solar, wind, etc.), ensuring efficient operations. Monitor and manage the troubleshooting of any IT-OT issues happening on the solar and wind farms with central support and/or subcontractors. SCADA Systems Management: Ensure the proper follow-up on the maintenance plan for SCADA systems, including troubleshooting and managing issues related to cabling, optic fibre. Handle level 1 troubleshooting of the SCADA system and manage the troubleshooting of any OT issues at solar and wind sites. Cybersecurity Management: Work with management and CISO to implement cybersecurity and support IT/OT risk management Coordinate with the O&M department to ensure IT/OT systems properly support emergency response procedures. Coordinate with O&M for the procurement and inventory of spare parts for IT and SCADA systems. IT System Management: Provide level 1 proximity support on all IT-related issues, including user support for workstations, applications, networking and IT consumables. Manage the network configuration (switching, routing) and ensure the proper follow-up on the maintenance plan for industrial telecom systems. Responsible for the obsolescence follow-up process (including management and patching). Ensure the compliance of IT/OT-related contractors working on-site with ENGIE guidelines. Report any IT-OT related abnormalities, incidents, or process deviations spotted while monitoring the systems. Ensure that all IT/OT equipment (servers, control systems, SCADA, communication devices, etc.) complies with ENGIE and regulatory standards. Regularly interact with the O&M department to align IT/OT systems with broader ENGIE protocols and stay updated on the latest regulations. Provide hands-on management of Network devices and systems Manage support activities of external providers for the delivery of network services and project tasks Manage network systems to ensure compliance is maintained with cybersecurity policies Provide input into the risk management programme ensuring that Information Technology systems Disaster Recovery plans - include network services and other network elements. In the event of a cybersecurity incident perform tasks as directed by CISO Coordinate with technology and business groups to assess, implement, and monitor IT-related security risks/hazards Report security performance against established security metrics Technical Knowledge and Skills: Strong knowledge of Industrial Control Systems (ICS) including PLC, DCS, SCADA, HMI, and IPC, PPC. Familiarity with automation hardware and software, Windows Server and client architecture, and IT hardware for power plants. Understanding of OT networking, OT network components, communication protocols such as Modbus, OPC/UA, TCP/IP, Profinet, and OT serve r and storage components. Technical hands-on experience in networking , routing , switching. Experience in implementing cybersecurity tools for OT environments. Knowledge of industry standards like ISA/IEC 62443. Qualifications and Experience: Diploma/Degree in Computer Science, Industrial Engineering, Electrical Engineering, Mechanical Engineering, or equivalent hands-on experience managing a complex IT and/or OT system. 5-8 years of experience in IT/OT systems, preferably in the renewable energy sector. Strong knowledge of SCADA architecture is mandatory. Experience with SCADA systems, cybersecurity, and IT support. Willingness to travel extensively to various sites for onsite support . Strong problem-solving skills and the ability to work independently. Flexible mindset, able to work outside the comfort zone. Certifications CCNA, CompTIA Network+, Certified Automation Professional ( Desirable not mandatory) Preferably from Gujarat or Rajasthan native Behavioural Competencies Customer-focused with a commitment to delivering high-quality service. Ability to work independently, exercise sound judgment, and make decisions in a fast-paced environment. Adaptable to changing priorities and flexible to work outside regular hours when required to meet timelines. Work Environment & Physical Requirements Extensive travel to ENGIE projects sites across India region for technical issues, field visits, IT-OT implementation. Base location is Pune, India. Requires extended periods of concentration, technical hands-on work, and the ability to operate office equipment. Walking, bending, or physical activity may be required during site visits. Location and Reporting: Location: Pune , India ( extensive travel across the region to support sites . Stay at sites location during implementation, support till issues resolved) Reports to: Cyber Security & IT Infrastructure Manager

What would you do? System Design: Architect and design end-to-end speech processing pipelines, from data acquisition to model deployment. Ensure systems are scalable, efficient, and maintainable. Advanced Modeling: Develop and implement advanced machine learning models for speech recognition, speaker diarization, and related tasks. Utilize state-of-the-art techniques such as deep learning, transfer learning, and ensemble methods. Research and Development: Conduct research to explore new methodologies and tools in the field of speech processing. Publish findings and present at industry conferences. Performance Optimization: Continuously monitor and optimize system performance, focusing on accuracy, latency, and resource utilization. Collaboration: Work closely with product management, data science, and software engineering teams to define project requirements and deliver innovative solutions. Customer Interaction: Engage with customers to understand their needs and provide tailored speech solutions. Assist in troubleshooting and optimizing deployed systems. Documentation and Standards: Establish and enforce best practices for code quality, documentation, and model management within the team. Required Skills 2+ years of experience in speech processing, machine learning, and model deployment. Demonstrated expertise in leading projects and teams. Technical skills: • Excellent knowledge in Python / Java programming. • In-depth knowledge of speech processing frameworks like, Wave2vec, Kaldi, HTK, DeepSpeech and Whisper. • Experience with NLP, STT, Speech to Speech LLMs and frameworks like Nvidia NEMO, PyAnnote. • Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or Keras. • Experience with large-scale ASR systems, speaker recognition, and diarization algorithms. • Strong understanding of neural networks, sequence-to-sequence models, transformers and attention mechanisms. • Familiarity with NLP techniques and their integration with speech systems. • Expertise in deploying models on cloud platforms and optimizing for real-time applications. Good to have: • Experience with low-latency streaming ASR systems. • Knowledge of speech synthesis, STT (Speech-to-Text) and TTS (Text-to-Speech) systems. • Experience in multilingual and low-resource speech processing.

We are seeking a highly skilled maintenance manager with bachelor's degree in Electrical Engineering, or a related field. The ideal candidate will have expertise in CNC,vmc ,HMC ,and IoT , proportional valves maintenance, electrical systems, data acquisition. The candidate should have 10-15 years of experience in the relevant field. Responsibilities: takes care of all plant maintenance,trouble shooting of electrical systems and instrumentation. Implement and manage

We are seeking a highly skilled Instrumentation Engineer with bachelor's degree in Electrical Engineering, Instrumentation Engineering, or a related field. The ideal candidate will have expertise in hydraulic/pneumatic servo systems, proportional valves maintenance, electrical systems, data acquisition, and PLC control. Proficiency in LabVIEW and MATLAB programming, along with experience using NI cards for data acquisition and control, is required. Knowledge in C, C++, and Microcontroller programming are highly appreciated. The candidate should have Responsibilities: Design, develop, and maintain hydraulic/pneumatic servo systems and proportional valves. Perform maintenance and troubleshooting of electrical systems and instrumentation. Implement and manage data acquisition systems using NI cards. Develop and optimize control algorithms using LabVIEW and MATLAB. Ensure proper functioning and calibration of PLC systems. Collaborate with cross-functional teams to integrate instrumentation systems. Conduct periodic maintenance and calibration of instrumentation. Troubleshoot and resolve issues related to instrumentation and control systems. Ensure compliance with safety regulations and quality standards

Data Acquisition & Web Application Developer Experience: 3 - 6 Years Exp Salary : USD 1,851-2,962 / month Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : APIS, data acquisition, Web scraping, Agile, Python Good to have skills : Analytics, Monitoring, stream processing, Web application deployment, Node Js GPRO Ltd (One of Uplers' Clients) is Looking for: Data Acquisition & Web Application Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Title: Data Acquisition & Web Application Developer About the Project: We are seeking a skilled full-stack developer to build a specialised web application designed to aggregate and present public information on individuals, such as company executives and leaders. This tool will serve as a comprehensive profile generator, pulling data from diverse online sources including news outlets, social media and other platforms. The primary goal is to provide users with a centralised, easily navigable view of a person's online presence, latest news and public information. Project Overview: The core of this project involves developing a robust data acquisition layer capable of scraping and integrating information from various online sources. This data will then be presented through a user-friendly web interface. The application should allow users to input a person's name and receive an aggregated view of relevant public data. Key Responsibilities: Develop and Implement Data Acquisition Layer: Design and build systems to scrape and collect data from specified sources, including news websites (e.g., Bloomberg.com, Reuters, BBC.com, Financial Times), social media (e.g., X, LinkedIn), and media platforms (e.g., YouTube, podcasts). Integrate with APIs: Utilize official APIs (e.g., Bloomberg data, Reuters, FinancialTimes, Google Finance) where available and prioritized. Evaluate and integrate with third-party scraping APIs (e.g., Apify, Oxylabs, SerpApi) as necessary, considering associated risks and subscription models. Handle Hybrid Approach: Implement a strategy that leverages licensed APIs for premium sources while potentially using third-party scrapers for others, being mindful of terms of service and legal/ethical considerations. Direct scraping of highly protected sites like Bloomberg, Reuters, and FT should be avoided or approached with extreme caution using third-party services. Design Data Storage and Indexing: Determine appropriate data storage solutions, considering the volume of data and its relevance over time. Implement indexing and caching mechanisms to ensure efficient search and retrieval of information, supporting near real-time data presentation. Develop Web Application Front-End: Build a basic, functional front-end interface similar to the provided examples ("Opening Screen," "Person profile"). This includes displaying the aggregated information clearly. Implement User Functionality: Enable users to: Input a person's name for searching. Sort displayed outputs by date. Click through links to access the original source of information. Navigate to a new search easily (e.g., via a tab). Consider Stream Processing: Evaluate and potentially implement stream processing techniques for handling near real-time data acquisition and updates. ¢ Ensure Scalability: Design the application to support a specified level of concurrent searches (estimated at 200 for the initial phase). ¢ Build Business Informational Layer: Develop a component that tracks the usage of different data services (APIs, scrapers) for monitoring costs and informing future scaling decisions. ¢ Technical Documentation: Provide clear documentation for the developed system, including data flows, API integrations, and deployment notes. Required Skills and Experience: ¢ Proven experience in web scraping and data acquisition from diverse online sources. ¢ Strong proficiency in developing with APIs, including handling different authentication methods and data formats. ¢ Experience with relevant programming languages and frameworks for web development and data processing (e.g., Python, Node.js, etc.). ¢ Knowledge of database design and data storage solutions. ¢ Familiarity with indexing and caching strategies for search applications. ¢ Understanding of potential challenges in web scraping (e.g., anti-scraping measures, terms of service). ¢ Experience in building basic web application front-ends. ¢ Ability to consider scalability and performance in system design. ¢ Strong problem-solving skills and ability to work independently or as part of a small team. ¢ Experience working with foreign (western based) startups and clients. Ability to work in agile environments and ability to pivot fast. Desirable Skills: ¢ Experience with stream processing technologies. ¢ Familiarity with deploying and managing web applications (though infrastructure design is flexible). ¢ Experience with monitoring and analytics for application usage. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: A web app aggregating real-time info on individuals for financial services professionals About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Associate Manager, D&AI BIOps (Business Intelligence Operations) Agro & Sustainability Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

Associate Manager, D&AI BIOps (Business Intelligence Operations) North America Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

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