30 Data Enrichment Jobs

collect entry the validate data from different portals and sources Perform data enrichment by identify organize and maintain structured database Collaborate with team to support ongoing data -driven project Required Candidate profile Should be graduate good communication Ability to adopt new technologies Minimum 2yrs to 4yrs of experience

Work on large volume of data which needs to be mined for insights, patterns and reporting. use programming skills to automate the reports. CV: +91 8660770495 (only WA text , unscheduled calls @ disqualification) Email CV: cv@archangelhr.in Required Candidate profile B.Tech or equal, with hands-on industry experience in data analysis, Advanced Excel, R or Python. Email CV: hr@archangelhr.in, hi@archangelhr.in

Job Summary: We are seeking an experienced E-Commerce Manager with expertise in Product Data Management (PDM) and Product Data Automation (PDA) to drive the architecture and optimization of our digital commerce ecosystem. The ideal candidate will play a key role in defining scalable, efficient, and automated product data workflows to enhance product listings, catalog management, and overall e-commerce operations. Key Responsibilities: 1. E-Commerce Architecture & Strategy: Define and implement scalable, high-performance e-commerce architectures to support business growth. Collaborate with stakeholders (IT, marketing, operations, product managers) to define the product data strategy aligned with business goals. Ensure integration of e-commerce platforms with Product Information Management (PIM), ERP, CMS, DAM, and other business systems. Provide technical leadership for e-commerce system design, including data modeling, APIs, and automation workflows. 2. Product Data Management (PDM): Design and manage centralized PIM (Product Information Management) solutions for structured and unstructured product data. Define and enforce product data governance , taxonomy, and data quality standards across multiple channels. Establish best practices for product catalog management , including SKU creation, categorization, and attributes mapping. Ensure seamless omnichannel data consistency across marketplaces, websites, mobile apps, and other sales channels. 3. Product Data Automation (PDA): Develop and implement automation solutions for product data ingestion, validation, enrichment, and syndication. Leverage AI/ML and rule-based engines to automate product classification, tagging, image recognition, and metadata generation . Design APIs and data pipelines to connect PIM, ERP, e-commerce platforms, and third-party data sources. Optimize bulk data processing workflows for large-scale product catalogs. 4. Systems Integration & API Management: Define data exchange protocols between PIM, e-commerce platforms (Magento, Shopify, SAP Commerce Cloud, etc.), and external partners. Ensure seamless integration of third-party tools, marketplaces (Amazon, eBay, Walmart, etc.), and pricing engines . Implement real-time data synchronization between different systems and platforms. 5. Performance Optimization & Scalability: Design scalable and resilient product data solutions to handle large catalogs and high traffic. Optimize database performance , indexing, and caching for improved data retrieval speed. Implement cloud-based architectures (AWS, Azure, GCP) to enhance performance and reliability. 6. Security & Compliance: Ensure compliance with data privacy regulations (GDPR, CCPA, etc.) for handling customer and product data. Implement role-based access control (RBAC) for product data workflows. Secure APIs and data transfers to prevent data leaks and unauthorized access. 7. Stakeholder Collaboration & Leadership: Act as a technical advisor to business and IT teams for e-commerce and product data solutions. Work closely with data engineers, developers, UX/UI designers, and business analysts to deliver seamless solutions. Train and mentor teams on best practices for product data management and automation . Required Qualifications & Skills: Technical Skills: E-Commerce Platforms: Expertise in Magento, Shopify Plus, SAP Commerce Cloud, BigCommerce, Salesforce Commerce Cloud , or similar. PIM Systems: Hands-on experience with Akeneo, Salsify, Informatica PIM, Stibo Systems, or inRiver PIM . Automation & Scripting: Experience with Python, Java, JavaScript, or SQL for automation. APIs & Integration: Strong knowledge of RESTful APIs, GraphQL, middleware (Mulesoft, Dell Boomi, Workato), and ETL pipelines . Cloud & DevOps: Familiarity with AWS, Azure, GCP, Kubernetes, CI/CD pipelines . Data Handling: Experience in data modeling, transformation (ETL/ELT), and schema design . Machine Learning & AI (Preferred): Understanding of AI/ML for product data automation, NLP, and image recognition . Soft Skills: Strong problem-solving and analytical skills to troubleshoot complex e-commerce and product data challenges. Excellent communication and stakeholder management skills to bridge technical and business teams. Strategic thinking and innovation mindset to drive automation and efficiency. Ability to work in an agile environment and adapt to changing business needs. Experience: 7+ years of experience in e-commerce architecture, product data management, and automation . Hands-on experience with PIM, API integrations, and e-commerce platforms is a must. Experience with large-scale, multi-channel product catalogs and marketplaces is highly desirable. Preferred Certifications (Optional but Beneficial): Magento/SAP Commerce/Shopify Plus Architect Certification PIM (Akeneo, Salsify, Stibo) Certification AWS/Azure Cloud Architect Certification Location & Work Mode: Remote / Hybrid / On-site (as per company policy) Travel may be required for stakeholder meetings and system integrations.

Job Title : Data Modelling Manager Required Exp : 4-7yrs Job location : Pune (hybrid) (3 Days office 2 days Home) Schedule : 1PM -10 PM Mon-Fri Note: Looking for immediate joiners or who can join within 20 days. About Us: Insights is a mission-driven, start-up technology company focused on transforming the healthcare payer industry, ultimately creating a more personalized patient experience, improving health outcomes, and lowering the overall cost of healthcare. Insights provides a flexible, efficient, and secure platform that organizes and exchanges healthcare data from various sources and formats, allowing our customers to uncover differentiated insights that address their clients' needs. Our employees know that they play an active role in keeping our customers' data safe and are responsible for ensuring that our comprehensive policies and practices are met. With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we have built an innovative data integration and management platform that allows healthcare payers access to data that has been historically siloed and inaccessible. Through our platform, these health insurance payers can ingest and manage all the data they need to transform their business by supporting their analytical, operational, and financial needs. Since our founding in 2017, has built a highly successful SaaS business, raising more than $81 Million by leading VC firms who have deep expertise in the healthcare and technology industries. We are solving problems of massive scale and complexity in an industry that is not only ready for disruption. We're growing quickly and would love for you to be a part of it! About the Role: As our lead healthcare data expert, you will guide product managers, engineers, and operations staff on all aspects of healthcare data. Your deep experience to design, implement and document data modeling solutions will enable the team to nimbly build comprehensive products that optimally structure and organize data to meet our customer analytical and operations use cases. Your deep knowledge of identifying key business needs, define and govern data modeling design standards and best practices champion the usage of data with our customers. This will be key to the success of our highly differentiated, automated, and scalable data distribution capability (API Catalog, Data Marts, etc.) to serve diverse analytical and operational data consumption needs pushing the envelope on a cloud-first approach in healthcare data integration. All of this coupled with your passion for improving outcomes for all healthcare stakeholders will drive our data strategy. This represents a great opportunity to blaze your own trail working in a start-up organization in a cross-function, talented team to move the needle on some of the most pressing challenges in healthcare. You should expect to: Identify and define data requirements for data distribution/consumption use cases required by enterprise healthcare customers to include: Knowledge of data modeling, data integrity principles and SQL. Attributes, metrics, lookup/reference data required for Data Marts (e.g.: Risk Adjustment) and be able to explain to engineering: Data orientations/organization of the data required to build an ETL pipeline. Core vs. ancillary attributes/metrics in our lossless canonical models. Expected cardinality vs. outlier ranges for attributes/metrics. Attributes and calculations required to define healthcare industry metrics/KPI/KQIs. Typical queries users would ask of the data: Facts, Dimensions, JOINs. Data delivery patterns using complex events or business rules. Data enrichment (standardization, transformations, algorithms, grouping). Guaranteed data quality criteria required to meet specific SLAs to include data federation with business specific, governed data sources within an enterprise. Work with Engineering to manage, groom, and prioritize the product feature backlog to include creating epics and acceptance criteria. Help define data distribution implementation practices o Partner with health plan service providers to define and drive adoption of data distribution APIs/SDK. Work with Client Management for product support during client engagements Terrific if you have experience: In a Product Role with: Analyzing, visioning and road-mapping . Influencing and evangelizing key stakeholders (customers, partners, thought leaders, senior management) Agile, story writing, grooming, prioritizing, planning, showcasing and delivering MVP. In a Technical Role with: Healthcare IT Data analysis, modeling, and administration in cloud technologies. APIs/SDKs, business rules processing, data federation and data distribution technologies. Working with Engineering teams in highly technical environments. Bachelors degree in computer science, information systems, analytics, or related field, and/or equivalent.

Revenue Operations Manager Job Description The Pazcare Revenue Operations Manager will lead the Revenue operations function for Pazcare, leading a team of data analysts to support business operations across Sales, Marketing and Customer success. Key responsibilities Lead a team of 4-6 data analysts to support high quality execution across Pazcares Revenue functions - Sales, Marketing & Customer Success. Planning Support development & management of annual, quarterly, monthly plans Reporting & Analytics Develop MIS & reporting in line with business KPIs & requirements Identify actionable business insights for business review Conduct deep dive analysis to investigate business issues Manage key data flows e.g. Revenue reporting, incentive calculations etc. Use tools like python, knime, google apps script etc. to automate or simplify data collection, enrichment & processing for business applications Data Enrichment Work with multiple tools & vendors to manage systematic data enrichment of prospect data e.g. Apollo, Lusha etc. Lead & Deal assignment Manage systems, rules & processes to score & assign leads & deals to SDRs and KAMs systematically Revenue Systems management User management, configuration, reporting and functionality enhancement in line with evolving business requirements CRM system (Zoho), Helpdesk system (Zoho), Telephony (Ozontel), GTM enablement (Mindtickle), Google Adwords, Google Analytics Work with Pazcare product team to manage integrations between Pazcare platform & Revenue systems Drive identification, selection & deployment of new systems Qualifications and requirements Key capability areas / Strengths Strong technology awareness, knowledge & skills Data handling & analysis skills Team management experience Communication skills to simplify actionable insights Ability to work with external partners (vendors) High ownership and drive Qualifications Engineering or technology background in graduation Post-graduation in business subjects is an added advantage Designation and Band- Manager to Senior Manager Tentative joining date- Immediate basis or soonest possible Location- Bangalore

Data Cleansing & Integration Project Delivery: Execute high visibility data programs as assigned by the Data Cleansing Manager. Utilize SAP data load solutions such as SAP Migration Cockpit and LSMW for data loading and template creation. FDO Data Change Management Methodology: Assist in defining data cleansing approaches using Mass Change functionality. Develop and prepare data cleansing strategies. Data Cleansing & Integration Technical Guidance: Understand SAP landscape and data flow to underlying/consumed systems to prevent data synchronization issues. Data Quality: Collaborate with the Data Quality (DQ) team to define DQ rules and enhance visibility of existing data quality. Data Governance: Work with the Data Governance (DG) team to ensure proper governance before implementing system changes. Conduct necessary data load testing in test systems. Data Sourcing: Maintain and update the data catalogue/data dictionary, creating a defined list of data sources indicating the best versions (golden copies). Data Ingestion: Collaborate with DG and project teams on data harmonization by integrating data from multiple sources. Develop sustainable integration routines and methods. Qualifications: Experience: Minimum of 6 years in data-related disciplines such as data management, quality, and cleansing. Technical Skills: Proven experience in delivering data initiatives (cleansing, integration, migrations) using established technical data change methodologies. Proficiency in handling large data sets with tools like Microsoft Excel and Power BI. Experience with SAP native migration and cleansing tools such as SAP Migration Cockpit, LSMW, and MASS. Knowledge of Master Data Management in SAP MDG, SAP ECC, and associated data structures. Collaboration: Ability to work effectively with internal cross-functional teams.

Job Title: EAM Consultant Location: Hyderabad Experience: 4-6 Years We are looking for experienced EAM Consultants (4 - 6 years) to join our team immediately in Hyderabad. who is having strong background in CMMS, Reliability, and Maintenance . Job Description: Check hard copy and electronic versions of P&IDs. Verify P&ID revision control, compare symbols and legends, validate asset tagging and equipment IDs, confirm pipeline and flow direction. Cross-check with field assets (optional), report discrepancies, and request updates. Basic understanding of the type and purpose of primary equipment by discipline (ELE, INST, MECH). Lead missing asset identification and record corrections for all assets under the scope of the project. Confirm and validate the Master Equipment List (MEL), Asset Tag Registers, and SCE Lists from P&IDs, PFDs, and single-line drawings. Build the equipment technical hierarchy according to CMMS requirements. Prepare technical objects, structure, and organize master data related to assets, equipment, and maintenance processes. Data Cleansing, Data Enrichment, Cataloguing. Some of the technical objects include: Functional Location, Equipment (EQ), Bill of Materials (BOM), Work Centers (WC) , Maintenance Task List, Measuring Points & Counters. BOM (Bill of Materials): Manage maintenance spare parts ordering and prepare all related documents in coordination with the warehouse, purchasing, and maintenance end users. Establish machinery spare parts interchangeability records, classification, and standardization (rotating, static, piping, and fittings), starting with the recommended two-year spare parts dossier provided by the contractor during construction. Provide statistical reports on inventory transactions using CMMS (Computerized Material Management System). Spare Parts Data Package Review (SPDP): Analyze spare parts lists (SPILs), Bill of Materials (BOMs), and SPIR (Spare Parts Interchangeability Record) and vendor documentation. Verify part descriptions, material specifications, and manufacturer details. Ensure correct categorization and classification of spare parts (MRO, consumables, critical spares, etc.). Identify duplicate, obsolete, or missing spare parts data and recommend corrective actions. Required Knowledge: Familiarity with ISO 14224 (Asset & Maintenance Data Collection for Reliability). ISO 9001 (Quality Management System - QMS). ASTM standards or industry-specific maintenance guidelines.

Design, develop, and implement data solutions using Microsoft Fabric , including data pipelines, data warehouses, and data marts. Develop data pipelines, data transformations, and data workflows using Microsoft Fabric.

Manage and enrich Franchise customer data of 72 Cr to enable creation and generation of Pre-Approved offers, improve Approval rates by enriching data through verified sources and enable instant disbursals by continuously improving fill rates of verified information to help scale volumes in 3in1 App. Responsible for identifying data requirements and evaluating quality of data sourced through external vendors. This capability will help build scale on 3in1 App of the Company and targets to improve Market share of the Company by 10% from current levels at the same portfolio risk levels Data Quality - New Data Enrichment Management o Data Standardization Data Quality o Data Enrichment of Franchise base basis internal External Sources o Responsible for end-to-end Data Quality Data Enrichment, Validation Verification for variables o Prepare BRD and User Story for development of Internal Data Storage design that enables to maintain every data point received with tagging of Source, time, Verified / Non-Verified data and Confidence level of the same. o Define validation rules and confidence levels for any variable brought into the single repository. o Define logic for flagging of Confidence levels for the data fields to enable end users of the data to use the data as per their confidence flagging. o Data verifications as per Confidence Flagging and insert into enrichment Mart o Governance of New Data element or New Data Source o Responsible for ensuring error rates in Data Quality are maintained within threshold levels o Define SOP and scope of activities for Data Quality management through Manual intervention to be executed through outsourced Credit Ops shop in Bareily o Control checks on data quality management done through Bareily shop o Define validation rules for data fields to ensure that junk data does not enter the repository o Responsible to ensure that the data tables have no data quality issues o Ensure all Existing Prospect records are maintained in a single repository o All other data points related to these records and any data enrichment to be maintained in a single repository o Data Enrichment o Engage with Partnership team in validating the information is meeting the quality standards that have been defined o Will qualify whether data points from a Particular Partner or Source can be used for Enrichment o Will also identify and maintain list of sources, websites which are to be used for Data Enrichment Key Decisions / Dimensions Following decisions are taken by the role: Design of data storage table Addition of new data sources Data quality validations Major Challenges Working with extremely large data sets Co-ordination with multiple stakeholders Clean up of existing data in BAU as we'll as create the new framework of data storage Required Qualifications and Experience a) Qualifications Post-graduation/ MBA with 3+ years experience in retail lending Risk b) Work Experience Minimum 2+ years of experience in SQL/ADB/Python/PySpark/EDW management Experience with large data handling and quantitative analysis Exposure to data analytics tools (Eg. SAS, SQL and Decision Tree) automated BI reports Strong Problem-solving ability and analytical skills

About the role As a Marketing Data Specialist , you will work alongside the Marketing Data Lead in managing and optimizing lead and contact creation and management processes with a focus on data quality, enrichment, standardization, and supporting ongoing data-related initiatives. What you’ll do Assist with data enrichment, acquisition, standardization, and segmentation efforts Aid in the management of lead and contact creation and routing workflows, ensuring data flows smoothly to and from CRM (Salesforce) and other systems using tools like LeanData , RingLead , Demandbase Data Integrity, SFDC Data Loader, Cloudingo , and more Ensure lead creation and conversion processes across Sales and Marketing are optimized and adhere to internal and external data health and compliance requirements Support Marketing Data Lead in implementing data governance policies and practices Oversee intake, perform related actions, and ensure positive outcomes of lead generation program s with goal to automate process where appropriate Collaborate with marketing , sales , and customer success teams to support data-driven initiatives and reporting What you’ll bring 5 + years of experience in data management, marketing operations, sales operations , or customer success operations Familiarity with CRM systems (e.g., Salesforce) and data management tools like LeanData , RingLead , Demandbase Data Integrity, SFDC Data Loader, Cloudingo , and more Has a high level of autonomy in day-to-day operations Strong attention to detail with an understanding of global data governance principles and best practices Ability to work independently and collaboratively with a global team Analytical mindset adept at problem finding and problem solving Able to work flexible hours as required by business priorities Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today! Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Job Title: Specialist, Audience Operations - Level P2 Location: Chennai, India About the Role: We re seeking a highly detail-oriented and technically skilled Audience Operations Specialist to support audience strategy, segmentation, and execution across our marketing technology stack. This role plays a critical part in ensuring the right message reaches the right audience at the right time driving personalization, efficiency, and impact across campaigns. You will collaborate closely with Marketing Operations, Campaigns, Analytics, and CRM teams to deliver clean, precise audience lists and segmentation logic for cross-channel marketing efforts. Key Responsibilities: Key Responsibilities: Build and manage audience segments for global campaigns across marketing automation and CRM platforms (e.g., Marketo, Salesforce, HubSpot). Interpret campaign briefs and translate them into accurate audience logic, using filters, exclusions, and prioritization rules. Own end-to-end audience delivery from list sourcing to QA to deployment readiness. Partner with marketing automation and CRM teams to manage contact data hygiene, lead lifecycle stages, and segmentation capabilities. Collaborate with analytics and data engineering teams to implement data enrichment and audience scoring strategies. Work closely with campaign managers, analytics, and sales ops to refine targeting strategies. Act as a technical advisor for audience capabilities in platform evaluations, migrations, or transformation initiatives. Requirements: 3-5 years in marketing operations, audience segmentation, or marketing technology roles. Hands-on experience with MAPs (e.g., Marketo, Eloqua, Pardot), CRM (Salesforce), or CDPs (e.g., Segment, Adobe RT-CDP). Strong logic-building skills with filters, exclusions, field criteria, and campaign triggers. Solid understanding of marketing data structure (lead/contact objects, campaign membership, activity logs). Intermediate SQL or experience working with structured datasets and queries. Familiarity with campaign orchestration tools; Experience with privacy-compliant data handling and opt-in/opt-out logic. About Trimble : Trimble is a leading provider of advanced positioning solutions that maximize productivity and enhance profitability for our customers. We are an exciting, entrepreneurial company, with a history of exceptional growth coupled with a disciplined and strategic focus on being the best. While GPS is at our core, we have grown beyond this technology to embrace other sophisticated positioning technologies and, in doing so, we are changing the way the world works. Those who successfully lead others to meet our objectives are vital to our organization. Leadership at Trimble is much more than simply exercising assigned authority; we expect our leaders to embrace a mission-focused leadership style, demonstrating the strength of character, intellect and the ability to convert ideas to reality. www.trimble.com

Job Title: Specialist, Audience Operations - Level P3 Location: Chennai, India About the Role: We re seeking a highly detail-oriented and technically skilled Audience Operations Specialist to support audience strategy, segmentation, and execution across our marketing technology stack. This role plays a critical part in ensuring the right message reaches the right audience at the right time driving personalization, efficiency, and impact across campaigns. You will collaborate closely with Marketing Operations, Campaigns, Analytics, and CRM teams to deliver clean, precise audience lists and segmentation logic for cross-channel marketing efforts. Key Responsibilities: Build and manage audience segments for global campaigns across marketing automation and CRM platforms (e.g., Marketo, Salesforce, HubSpot). Interpret campaign briefs and translate them into accurate audience logic, using filters, exclusions, and prioritization rules. Own end-to-end audience delivery from list sourcing to QA to deployment readiness. Partner with marketing automation and CRM teams to manage contact data hygiene, lead lifecycle stages, and segmentation capabilities. Collaborate with analytics and data engineering teams to implement data enrichment and audience scoring strategies. Work closely with campaign managers, analytics, and sales ops to refine targeting strategies. Act as a technical advisor for audience capabilities in platform evaluations, migrations, or transformation initiatives. Requirements: 5-7 years in marketing operations, audience segmentation, or marketing technology roles. Hands-on experience with MAPs (e.g., Marketo, Eloqua, Pardot), CRM (Salesforce), or CDPs (e.g., Segment, Adobe RT-CDP). Strong logic-building skills with filters, exclusions, field criteria, and campaign triggers. Solid understanding of marketing data structure (lead/contact objects, campaign membership, activity logs). Intermediate SQL or experience working with structured datasets and queries. Familiarity with campaign orchestration tools; Experience with privacy-compliant data handling and opt-in/opt-out logic. About Trimble : Trimble is a leading provider of advanced positioning solutions that maximize productivity and enhance profitability for our customers. We are an exciting, entrepreneurial company, with a history of exceptional growth coupled with a disciplined and strategic focus on being the best. While GPS is at our core, we have grown beyond this technology to embrace other sophisticated positioning technologies and, in doing so, we are changing the way the world works. Those who successfully lead others to meet our objectives are vital to our organization. Leadership at Trimble is much more than simply exercising assigned authority; we expect our leaders to embrace a mission-focused leadership style, demonstrating the strength of character, intellect and the ability to convert ideas to reality. www.trimble.com

Job Title: Specialist, Audience Operations - Level P3 Location: Chennai, India About the Role: We re seeking a highly detail-oriented and technically skilled Audience Operations Specialist to support audience strategy, segmentation, and execution across our marketing technology stack. This role plays a critical part in ensuring the right message reaches the right audience at the right time driving personalization, efficiency, and impact across campaigns. You will collaborate closely with Marketing Operations, Campaigns, Analytics, and CRM teams to deliver clean, precise audience lists and segmentation logic for cross-channel marketing efforts. Key Responsibilities: Build and manage audience segments for global campaigns across marketing automation and CRM platforms (e.g., Marketo, Salesforce, HubSpot). Interpret campaign briefs and translate them into accurate audience logic, using filters, exclusions, and prioritization rules. Own end-to-end audience delivery from list sourcing to QA to deployment readiness. Partner with marketing automation and CRM teams to manage contact data hygiene, lead lifecycle stages, and segmentation capabilities. Collaborate with analytics and data engineering teams to implement data enrichment and audience scoring strategies. Work closely with campaign managers, analytics, and sales ops to refine targeting strategies. Act as a technical advisor for audience capabilities in platform evaluations, migrations, or transformation initiatives. Requirements: 5-7 years in marketing operations, audience segmentation, or marketing technology roles. Hands-on experience with MAPs (e.g., Marketo, Eloqua, Pardot), CRM (Salesforce), or CDPs (e.g., Segment, Adobe RT-CDP). Strong logic-building skills with filters, exclusions, field criteria, and campaign triggers. Solid understanding of marketing data structure (lead/contact objects, campaign membership, activity logs). Intermediate SQL or experience working with structured datasets and queries. Familiarity with campaign orchestration tools; Experience with privacy-compliant data handling and opt-in/opt-out logic.

Job Title: Specialist, Audience Operations - Level P2 Location: Chennai, India About the Role: We re seeking a highly detail-oriented and technically skilled Audience Operations Specialist to support audience strategy, segmentation, and execution across our marketing technology stack. This role plays a critical part in ensuring the right message reaches the right audience at the right time driving personalization, efficiency, and impact across campaigns. You will collaborate closely with Marketing Operations, Campaigns, Analytics, and CRM teams to deliver clean, precise audience lists and segmentation logic for cross-channel marketing efforts. Key Responsibilities: Build and manage audience segments for global campaigns across marketing automation and CRM platforms (e.g., Marketo, Salesforce, HubSpot). Interpret campaign briefs and translate them into accurate audience logic, using filters, exclusions, and prioritization rules. Own end-to-end audience delivery from list sourcing to QA to deployment readiness. Partner with marketing automation and CRM teams to manage contact data hygiene, lead lifecycle stages, and segmentation capabilities. Collaborate with analytics and data engineering teams to implement data enrichment and audience scoring strategies. Work closely with campaign managers, analytics, and sales ops to refine targeting strategies. Act as a technical advisor for audience capabilities in platform evaluations, migrations, or transformation initiatives. Requirements: 3-5 years in marketing operations, audience segmentation, or marketing technology roles. Hands-on experience with MAPs (e.g., Marketo, Eloqua, Pardot), CRM (Salesforce), or CDPs (e.g., Segment, Adobe RT-CDP). Strong logic-building skills with filters, exclusions, field criteria, and campaign triggers. Solid understanding of marketing data structure (lead/contact objects, campaign membership, activity logs). Intermediate SQL or experience working with structured datasets and queries. Familiarity with campaign orchestration tools; Experience with privacy-compliant data handling and opt-in/opt-out logic.

The innovative and effective deployment of data and analytics is key to the success of companies today. AkzoNobel is no exception as we seek to embed the improved understanding of data across the company. Identifying and implementing opportunities to optimize the use of data within our R&D, Manufacturing, Integrated Supply Chain, Marketing and Sales, Finance, HR and Sourcing Functions have been services delivered from our MDM Global Organisation over the last few years. We need additional support in these areas with a strong focus on Commercial and Sales (Customer master and Pricing data). For these reasons, GBS Master Data Services requires a Data Domain Expert to support our Commercial function Role & responsibilities Responsible for (or support) the activities done by the CoE for the Commercial & Sales domain in alignment the MDM Roadmap Drives standardized Commercial End to End Processes and Tools around MDM to Improve Quality of Delivery, Optimize Cost to Serve, Control & Compliance, and Enhancing Customer Experience Support the MDS CoE Team Lead to build an MDM roadmap for the Commercial & Sales domain Support the scope and activities of projects and processes and ensures execution Responsible for (or support) implementing proper preventive/detective controls for the CRUD activities of MDS Operations for Commercial & Sales Manage escalation process of Commercial & Sales issues or support the resolution of issues raised by business to the CoE Act as a change agent and communicator for MDS, enabling continuous commitment for and awareness of MDM IM touchpoint, driving master data standardization, organizational and system alignment for the Commercial & Sales domain Continued focus on Commercial & Sales innovation and standardization to drive down total cost-to-serve and enhance customer satisfaction through improved quality of processes Foster communication and teamwork within, and across, organizational boundaries Ability to analyze, design and implement the need for MDM in high complexity landscapes, both from system perspective and organizational perspective for Commercial & Sales. Ability to utilize metrics to identify opportunities for service improvement Excellent analytical and problem-solving skills Preferred candidate profile Post-graduation in Business Administration, Accounting, Finance, Economics, IT or equivalent work experience Minimum 8 overall experience with 5 experience in MDM related function, supporting our Commercial functions Strong working knowledge of SAP and SAP MDG experience preferred Strong domain knowledge of customer master and pricing data. Good data profiling and analytical skills. CRM Experience a plus Commercial Services, Sales, Customer Relations or equivalent background a plus Experience in Master Data Governance; development and implementation of best MDM governance practices. Ability to deliver quality work within strict deadlines while managing multiple priorities and acting with a sense of urgency. Very good communication skills must be able to discuss the requirements effectively with stakeholders, the external teams, and with internal teams. Continuous Improvement focused, relevant CI certification a bonus Experience in Project Management, with supporting certification preferred

Cleansing and Standardization of MRO materials (Mechanical, Electrical, Instrumentation, Electronic materials) Data Enrichment from various sources (Web Enrichment, Document Enrichment etc.) Knowledge about Taxonomy/Data Dictionary + creation Required Candidate profile Assigning UNSPSC/e-Class codes for cleansing and enriched materials Managing the data cleansing work which includes (delegation of work to the DQC’s, monitoring, issue handling, final submissions)

ColumbiaSportswearCompany is looking for Sr Master Data Mgmt Analyst to join our dynamic team and embark on a rewarding career journey. Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

2-4 years of experience in designing, developing, and training machine learning models using diverse algorithms and techniques, including deep learning, NLP, computer vision, and time series analysis. Proven ability to optimize model performance through experimentation with architectures, hyperparameter tuning, and evaluation metrics. Hands-on experience in processing large datasets, including preprocessing, feature engineering, and data augmentation. Demonstrated ability to deploy trained AI/ML models to production using frameworks like Kubernetes and cloud-based ML platforms Solid understanding of monitoring and logging for performance tracking. Experience in exploring new AI/ML methodologies and documenting the development and deployment lifecycle, including performance metrics. Familiarity with AWS services, particularly SageMaker, is expected. Excellent communication, presentation, and interpersonal skills are essential. Good to have: Knowledge of GenAI (LangChain, Foundation model tuning, and GPT3) Amazon AWS Certified Machine Learning - Specialty certifications Explore different models and transform data science prototypes for given problem Analyze dataset perform data enrichment, feature engineering and model training Abale to write code using Python, Pandas and Dataframe APIs Develop machine learning applications according to requirements Perform statistical analysis and fine-tuning using test results Collaborate with data engineers & architects to implement and deploy scalable solutions. Encourage continuous innovation and out-of-the-box thinking. Experience applying theoretical models in an applied environment.

Qualifications: Bachelors degree in Business, Marketing, or related field. 5+ years of experience in data enrichment, sales research, or market research roles. 2+ years of experience managing a team, ideally in a SaaS or B2B environment. Strong understanding of sales development processes and CRM tools like Salesforce or HubSpot. Proficiency with research tools (LinkedIn Sales Navigator, ZoomInfo, Apollo.io, etc.). Excellent project management, leadership, and organizational skills. Strong analytical mindset and attention to detail. Ability to demonstrate grit and resilience. Preferred Skills: Prior experience with ABM tools like 6Sense or Demandbase Experience supporting sales development teams or ABM programs. Familiarity with sales enablement platforms and automation tools. Proven ability to drive process improvements and deliver measurable results.

Dear All, We are hiring for multiple Master Data Management (MDM) Consultants for multiple client projects across domains. Note : : Only one position requires SAP S/4HANA experience . Candidates without SAP experience are also encouraged to apply. Candidates with a notice period of 30 days or less will be prioritized. Those with longer notice periods may still be considered based on fit. Work Location & Mode: Role 1: Hybrid (Chennai based candidates preferred) Role 2: On-site at customer office (Chennai) Roles & Responsibilities: Support the migration of master data from multiple systems into a centralized ERP platform. Assist in data consolidation and standardization to maintain a single source of truth. Participate in data migration and integration activities. Create, maintain, and ensure the quality of Material, Customer, and Vendor Master Data. Perform data validation, cleansing, and quality checks to maintain high data integrity. Collaborate with cross-functional teams to gather and define business data requirements. Identify and resolve data quality issues and process inefficiencies. Conduct data analysis and prepare reports to support business decision-making. Support data governance policies and ensure compliance with data standards. Contribute to the development and enforcement of data management best practices. Soft Skills: Excellent communication and collaboration abilities. Strong analytical skills with attention to detail. Detail-oriented with a focus on accuracy and quality. Ability to manage multiple, changing priorities while working effectively in a team environment. Excellent problem-solving skills. Desired Candidate Profile: 1 to 6 years of experience in Master Data Management or related data-focused roles. Passion for working with data and driving data quality initiatives. Bachelors degree in any discipline (Engineering mandatory). Proficiency in Microsoft Excel; exposure to Power BI is an advantage. For SAP-specific roles: Experience with SAP MDM on SAP S/4HANA is preferred. Exposure to software like Java or Python or SQL is a plus. Familiarity with PLM tools like Teamcenter or Windchill is a plus. If you are passionate about data and excited to work on challenging data transformation projects, apply now and be part of a dynamic and growing team!

Work Type: Hybrid Job Type: Full Time Job Description: Experience in designing, developing, and implementing AI-powered conversational experiences within the Salesforce platform, using Agentforce capabilities to create automated customer interactions across various channels, often requiring strong technical skills in Salesforce development and natural language processing (NLP) to build effective virtual agents. Core Responsibilities: Architecting and building data integration solutions using Salesforce Data Cloud to unify customer data from diverse sources. Implementing data cleansing, matching, and enrichment processes to improve data quality. Designing and managing data pipelines for efficient data ingestion, transformation, and loading. Collaborating with cross-functional teams to understand business requirements and translate them into data solutions Monitoring data quality, identifying discrepancies, and taking corrective actions Establishing and enforcing data governance policies to maintain data consistency and compliance Minimum Skills Required: Technical Skills: Expertise in Salesforce Data Cloud features like data matching, data cleansing, data enrichment, and data quality rules Understanding of data modeling concepts and ability to design data models within Salesforce Data Cloud Proficiency in using Salesforce Data Cloud APIs and tools to integrate data from various sources Knowledge of data warehousing concepts and data pipeline development Relevant Experience: Implementing Salesforce Data Cloud for customer 360 initiatives, creating a unified customer view across channels Designing and developing data integration solutions to connect disparate data sources Managing data quality issues, identifying and resolving data inconsistencies Collaborating with business stakeholders to define data requirements and KPIs Agentforce Design and Development: Building and customizing Agentforce conversational flows, defining dialogue trees, and creating intent-based interactions to handle customer inquiries effectively. NLP Integration: Training and refining natural language processing models to ensure accurate understanding of customer queries and provide relevant responses. Data Analysis and Optimization: Monitoring Agentforce performance, analyzing customer interaction data to identify areas for improvement and refine bot responses. Salesforce Integration: Seamlessly integrating Agentforce with other Salesforce components like CRM data, sales pipelines, and customer support systems to provide a unified customer experience. Testing and Deployment: Thoroughly testing Agentforce interactions to ensure quality and functionality before deployment across various channels (webchat, SMS, etc.). Skills to highlight on your resume: Salesforce Platform: Expertise in Salesforce administration, development (Apex, Visualforce), and understanding of Salesforce architecture. Agentforce Specifics: Deep knowledge of Agentforce features, capabilities, and configuration options. NLP Techniques: Familiarity with natural language processing concepts like intent classification, entity extraction, and dialogue management. Conversational Design: Proven ability to design engaging and effective conversational flows for virtual agents. Data Analysis: Skills in analyzing customer interaction data to identify patterns and optimize Agentforce performance. Design, develop, and deploy solutions on Salesforce Data Cloud platform. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Build custom applications, integrations, and data pipelines using Salesforce Data Cloud tools and technologies. Develop and optimize data models to support business processes and reporting needs. Implement data governance and security best practices to ensure data integrity and compliance. Perform troubleshooting, debugging, and performance tuning

*Architect and implement solutions that enable customers to get most out of what client can offer. *You will develop performant and robust Java applications while supplying continued evaluation and advancement of web technologies in the organization. Required Candidate profile Work on a high-velocity scrum team Architect & implement scalable end-to-end Web applications Help team lead to facilitate development processes Provide estimates & milestones for features/stories

Research and build contact lists, make outbound cold calls/emails to those who fit our Ideal Customer Profile (ICP), and will then partner with Account Manager to get customers onboarded. Roughly 70% of the time required to be spent on the phone or email prospecting for new clients Generate high-volume quality leads through various direct sales efforts such as calls, emails, events, webinars, and other channels generated by marketing initiatives. Make daily outbound calls/emails to target prospects. Follow up on all calls and emails until meetings are booked or you have been able to move the prospect through the funnel. Achieve or exceed monthly quotas of meetings, demos, and qualified leads worked with Account Manager Establish BANT by asking the right questions about the prospect's business, and their challenges, and helping them understand how BPAAS will help them solve those challenges Effectively build and execute a target achievement plan to maximize output. Should be able to individually drive the sales conversation for cross-selling and upselling in existing accounts Should be able to achieve sales quota for mapping new stakeholders in the existing account.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking an experienced MDM Senior Data Engineer with 6 – 9 years of experience and expertise in backend engineering to work closely with business on development and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica or Reltio and data engineering experience . This role will also involve guiding junior data engineers /analysts , and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with enterprise data strategy. To succeed in this role, the candidate must have strong Data Engineering experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have data engineering experience on technologies like (SQL, Python, PySpark , Databricks, AWS, API Integrations etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities Develop the MDM backend solutions and implement ETL and Data engineering pipelines using Databricks, AWS, Python/ PySpark , SQL etc Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms. Perform data profiling and identify the DQ rules need . Define and drive enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows. Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance. Ensure data integrity, lineage, and traceability across MDM pipelines and solutions. Provide mentorship and technical leadership to junior team members and ensure project delivery timelines. Help custom UI team for integration with backend data using API or other integration methods for better user experience on data stewardship Basic Qualifications and Experience Master’s degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 6 - 9 years of experience in Business, Engineering, IT or related field OR Diploma with 1 0 - 12 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Strong understanding and hands on experience of Databricks and AWS cloud services. Proficiency in Python, PySpark , SQL, and Unix for data processing and orchestration. Deep knowledge of MDM tools (Informatica, Reltio) and data quality frameworks (IDQ). Must have knowledge on customer master data (HCP, HCO etc ) Experience with data modeling, governance, and DCR lifecycle management. Able to implement end to end integrations including API based integrations, Batch integrations and Flat file-based integrations Strong experience with external data enrichments like D&B Strong experience on match/merge and survivorship rules implementations Very good understanding on reference data and its integration with MDM Hands on experience with custom workflows or building data pipelines /orchestrations Good-to-Have Skills: Experience with Tableau or PowerBI for reporting MDM insights. Exposure or knowledge of DataScience and GenAI capabilities. Exposure to Agile practices and tools (JIRA, Confluence). Prior experience in Pharma/Life Sciences. Understanding of compliance and regulatory considerations in master data. Professional Certifications Any MDM certification ( e.g. Informatica , Reltio etc ) Databricks Certifications (Data engineer or Architect) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Project Role : Business Agility Practitioner Project Role Description : Professionals who provide business agility and technology innovation advisory services focused on organizational transformation in order to aid clients in outlearning and outperforming the competition. Must have skills : Business Requirements Analysis Good to have skills : No Function Specialty Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Agility Practitioner, you will provide business agility and technology innovation advisory services to aid clients in outlearning and outperforming the competition. You will play a crucial role in organizational transformation and help clients achieve their business goals. Roles & Responsibilities: 5-8 years relevant work experience in delivering projects using the agile methodology for Risk (preferably Market Risk in Investment or Corporate Banking) and Finance projects especially around data sourcing Understanding data concepts and being able to perform data analysis. Proficient use of SQL and Python Ability to assimilate information quickly, make informed decisions, ability to use own initiative to resolve issues/ investigate and find solutions. Regular and confident interaction with end-users and customers having strong focus on delivering strategic solutions for the business. Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead and facilitate workshops to identify business requirements and translate them into actionable plans. Develop and implement strategies to improve business agility and drive innovation. Analyze and evaluate existing business processes to identify areas for improvement. Collaborate with stakeholders to gather and document business requirements. Identify and recommend solutions to address business challenges and achieve desired outcomes. Professional & Technical Skills: Must To Have Skills:Proficiency in Business Requirements Analysis. Strong understanding of business process modeling and analysis. Experience in conducting stakeholder interviews and workshops. Ability to translate business requirements into functional specifications. Good To Have Skills:Experience with Agile methodologies. Knowledge of business process automation tools. Familiarity with data analysis and visualization tools. Understanding of change management principles. Additional Information: The candidate should have a minimum of 5 years of experience in Business Requirements Analysis. This position is based at our Bengaluru office. A 15 years full time education is required. Qualifications 15 years full time education