3 R Scripting Jobs

The primary role is to ensure that standard methodology, processes, and tools are developed to provide repeatable results adopted across the user community. The IT Service Delivery group manages the delivery of all infrastructure and applications used by the business. Your function will be to manage and enforce the day-to-day service management processes defined for the operation of these systems including ITSM Process Consulting for CM/KM/EM, Service Level Reporting, Continuous Service Improvement, Data Analytics & Data Visualization, ServiceNow Operations, Major Incident Management, IT Asset Management (HAM & SAM), understanding around Cloud Technologies (AWS, Azure), and understanding around Data Warehouse Principals. **Key Responsibilities:** **Major Areas of Accountability:** - Provide appropriate governance oversight to ensure adherence to standard methodology, processes, and practices. - Define organizational measures to determine the state of the practice area and practitioners" success. - Develop and administer tools to measure practitioner skill assessments effectively. - Lead the development of a continuous feedback process for practitioners to identify process improvements. - Own, champion, and improve the technology analytics process. - Lead a Team of ITIL Service Management Professionals. - Act as the Services Process Manager for Problem, Change, Knowledge & Event Management processes. - Partner with adjacent services team leaders to deliver service operations strategic plan and roadmap. - Define, implement, and maintain key performance indicators (KPIs) of the services. - Chair operational review cadence for internal governance related to service performance. - Conduct root cause analysis/postmortem meetings and facilitate the problem management process. - Manage incident and change management processes for operational stability. - Facilitate audits and assessments to ensure processes and services support the mission. - Serve as an expert advisor for Process Improvement & ITSM Intelligent Automation. - Knowledge of ServiceNow Predictive Analytics & other ML Tools. - Manage employee performance, set objectives, and conduct regular reviews. - Build relationships with key business stakeholders. **Decision Making Authority:** Frequently interact with subordinate supervisors, customers, and functional peer group managers on matters between functional areas, company divisions, or customers. **Continuous Improvement:** - Work with application teams to determine the impact of changes on monitors. - Identify scope of process improvements & logging defects or enhancements. - Keep all process documents & SharePoint site up-to-date. **Required Qualifications:** - Bachelor's degree in Business, Computer Science, Information Technology, or related field. - 10-15 years experience in project execution role across the solution delivery life cycle. - Proficiency in assigned practice area. - Superior written and verbal communication skills. - ITIL Foundation or Expert certification. - Work experience with Service Management tools, preferably ServiceNow. **Preferred Qualifications:** - ServiceNow Operations. - Data Science for ITSM Intelligent Automation. - ITIL Expert. - PowerBI. - Flexera One. - Process consulting. - Training & Coaching. Join Ameriprise India LLP, a U.S. based financial planning company, to be part of an inclusive, collaborative culture that rewards contributions and offers opportunities for growth and development. Work with talented individuals who share your passion for doing great work and make a difference in your community. Take the next step and create a career at Ameriprise India LLP. **Full-Time/Part-Time:** Full time **Timings:** (2:00p-10:30p) **India Business Unit:** AWMPO AWMP&S President's Office **Job Family Group:** Technology,

You will support the Analytics solutions team in ramping up F&A analytics and reporting practice using the Dataiku platform. Your role will involve partnering with internal stakeholders and clients to identify, analyze, and deliver analytics and automation solutions using Dataiku. You will be responsible for translating business requirements into technical solutions and managing the end-to-end delivery of Dataiku-based projects. Additionally, you will communicate technical infrastructure requirements to deploy automation solutions and convert solutions into tools and products. Leading and mentoring a team of junior resources to enable skill development in Dataiku, data engineering, and machine learning workflows will also be part of your responsibilities. Essential duties include identifying F&A automation opportunities in the client environment and performing end-to-end automation operations. As a Senior Dataiku developer with over 6 years of experience, you should be proficient in building dynamic workflows, models, and pipelines. You should have experience in developing custom formulas, applications, and plugins within the Dataiku DSS environment, as well as integrating and working with Snowflake. A good understanding of SQL and experience integrating Dataiku with enterprise systems such as SAP, Oracle, or cloud data platforms is required. You must possess a balance of analytical problem-solving skills and strong interpersonal and relationship development abilities. In terms of technical skills, you should have hands-on experience in Dataiku, Alteryx, SQL, Power BI, and Snowflake. Proficiency in creating data pipelines for data ingestion, transformation, and output within the Dataiku platform is essential. An understanding of Python and R scripting within Dataiku is considered a strong advantage, along with a strong working knowledge of JIRA for agile project and task tracking. Desired soft skills for this role include excellent presentation, verbal, and written communication skills, as well as excellent analytical skills and an aptitude for problem-solving, including data analysis and validation. The ability to work independently and as part of a team is also highly valued. To be considered for this position, you should have 5-12 years of total analytics experience, with at least 6 years of experience specifically in Dataiku. Additionally, 1-2 years of working experience in Insurance Analytics would be beneficial.,

We are seeking a seasoned Senior Engineering Manager (Data Engineering) to lead the end-to-end management of enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives. As a senior leader in the data organization, you will oversee the day-to-day data operations, manage a team of data professionals, and drive process excellence in data intake, transformation, validation, and delivery. You will work closely with cross-functional teams including data engineering, analytics, IT, governance, and business stakeholders to align operational data capabilities with enterprise needs. Roles & Responsibilities: Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems. Define and implement standard operating procedures for data lifecycle management, ensuring availability, accuracy, completeness, and integrity of critical data assets. Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments. Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements. Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows. Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls. Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis. Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives. Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes. Mentor and develop a high-performing team of data operations analysts and leads. Functional Skills: Must-Have Skills: Experience managing a team of data engineers in biotech/pharma domain companies. Experience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems. Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions. Experience managing data workflows on Databricks in cloud environments such as AWS, Azure, or GCP. Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions. Working knowledge of SQL, Python, PySpark, or scripting languages for process monitoring and automation. Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization. Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX). Excellent leadership, communication, and stakeholder engagement skills. Well versed with full-stack development & DataOps automation, logging & observability frameworks, and pipeline orchestration tools. Strong analytical and problem-solving skills to address complex data challenges. Effective communication and interpersonal skills to collaborate with cross-functional teams. Good-to-Have Skills: Data Engineering Management experience in Biotech/Life Sciences/Pharma. Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc. Education and Professional Certifications: 12 to 15 years of experience in Computer Science, IT, or a related field. Databricks Certificate preferred. Scaled Agile SAFe certification preferred. Experience in life sciences, healthcare, or other regulated industries with large-scale operational data environments. Familiarity with incident and change management processes (e.g., ITIL). 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.