Sr. Analyst, Data Engineer - Data Operations role

Genpact; Philadelphia (Philadelphia County); On-site; USD 110,000 - 150,000; Full time

Job summary

Genpact is seeking a Sr. Analyst, Data Engineer - Data Operations to provide data partner support for US Pharmaceutical commercial teams, focusing on data governance, ingestion, and production readiness.

You will coordinate multiple vendors, ensure data quality, and support analytics for launch readiness and field reporting. Ideal candidates have 5–7+ years in data operations or related fields, and are proficient with Power BI, IQVIA datasets, Snowflake, Databricks, and cloud platforms.

Qualifications

• Bachelor’s degree in computer science, Information Systems, Data Analytics, Engineering, Life Sciences, Business, Marketing, or related field.
• 5–7+ years of experience in Data Operations, Data Management, Commercial Data, Customer Data Management, Data engineering, or related disciplines.

Responsibilities

• Provide data partner support to US Pharmaceutical commercial teams (with a focus on Respiratory and Anti-Infective), helping ensure that commercial data, pipelines, and governed data use reliably support launch readiness, field reporting, and analytics.
• Support end-to-end commercial data operations across multiple brands and initiatives, including ingestion, mapping, dependencies, and production readiness.
• Coordinate monthly data delivery from 20+ external vendors, validate data quality, and support ingestion into GSK databases and downstream platforms.
• Investigate and resolve data-quality and timeliness issues (e.g., invalid IDs, missing mappings, delayed IQVIA data), escalating to the right source and reducing impact on downstream reporting and launch readiness.
• Maintain and update US Pharma commercial metadata in Collibra and support compliance with US Commercial data management standards and SOPs.
• Support data-governance and use-rights clarification for payer data, primary market research, and external data sharing, ensuring appropriate approvals and permitted usage are in place ahead of delivery.
• Document and standardize ingestion processes (e.g., Blob2Curated for diagnosis codes), creating repeatable patterns that reduce operational risk and team dependency on individual knowledge.
• Provide data and process support for Marketing Mix (MMX) data preparation and quarterly modeling/reporting, ensuring that input datasets are accurate, consistent, and aligned with analytics requirements.
• Work across commercial, Data Operations, ADM/engineering, governance, vendors, and reporting teams to manage end-to-end data dependencies and mitigate risks before they affect business use or launches.
• Proactively identify process and data-quality improvement opportunities and support the implementation of scalable, governed analytics and data-operations solutions.

Skills

Data operations

Data governance

Stakeholder management

Analytical thinking

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Power BI

IQVIA data sets

Snowflake

Databricks

Azure

Job description

At Genpact, we don’t just keep up with technology, we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Sr. Analyst, Data Engineer - Data Operations role

• Provide data partner support to US Pharmaceutical commercial teams (with a focus on Respiratory and Anti-Infective), helping ensure that commercial data, pipelines, and governed data use reliably support launch readiness, field reporting, and analytics.

Data Operations & Commercial Data Lifecycle

• Support end-to-end commercial data operations across multiple brands and initiatives, including ingestion, mapping, dependencies, and production readiness.
• Coordinate monthly data delivery from 20+ external vendors, validate data quality, and support ingestion into GSK databases and downstream platforms.
• Investigate and resolve data-quality and timeliness issues (e.g., invalid IDs, missing mappings, delayed IQVIA data), escalating to the right source and reducing impact on downstream reporting and launch readiness.

Data Governance, Metadata & External Data Use

• Maintain and update US Pharma commercial metadata in Collibra and support compliance with US Commercial data management standards and SOPs.
• Support data-governance and use-rights clarification for payer data, primary market research, and external data sharing, ensuring appropriate approvals and permitted usage are in place ahead of delivery.
• Document and standardize ingestion processes (e.g., Blob2Curated for diagnosis codes), creating repeatable patterns that reduce operational risk and team dependency on individual knowledge.

Analytics, MMX & Commercial Insights Support

• Provide data and process support for Marketing Mix (MMX) data preparation and quarterly modeling/reporting, ensuring that input datasets are accurate, consistent, and aligned with analytics requirements.
• Support evaluation of marketing campaigns and sales performance using statistical testing, cohort analysis, and advanced analytics outputs generated by analytics teams.

Cross-Functional Collaboration & Continuous Improvement

• Work across commercial, Data Operations, ADM/engineering, governance, vendors, and reporting teams to manage end-to-end data dependencies and mitigate risks before they affect business use or launches.
• Proactively identify process and data-quality improvement opportunities and support the implementation of scalable, governed analytics and data-operations solutions.
• Help drive adoption of productivity tooling (e.g., GitHub Copilot for AIR Data Operations) and better engineering practices within the data-operations context.

Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Data Analytics, Engineering, Life Sciences, Business, Marketing, or a related field.
• 5-7+ years of experience in Data Operations, Data Management, Commercial Data, Customer Data Management, Data engineering, or related disciplines.

Technical Skills

• Reporting, Analytics & Datasets: Power BI, IQVIA Data sets, TRx/NRx/NBRx tracking, MMX input-data preparation, statistical testing, forecasting and causal analytics support. Dataset: ELAAD, APLD, Commercial Datasets, Campaign Data

Functional Skills

• Commercial data operations and lifecycle support (from vendor ingestion through to dashboards and field reporting).
• Stakeholder and dependency management across business, analytics, tech, governance, and vendor teams.
• Launch-readiness and production-stability support for key brands and reporting platforms.
• Experience working with cross-functional business and technical stakeholders, including marketing, analytics, technology, and external vendors.
• Excellent communication, stakeholder management, analytical thinking, and problem-solving skills.

Preferred Qualifications

• Pharmaceutical, Biotechnology, Life Sciences, or Healthcare Commercial experience.
• Familiarity with pharmaceutical commercial data ecosystems, including Veeva CRM, Salesforce, IQVIA, and other relevant commercial data and marketing technology platforms.
• Familiarity with applicable privacy regulations, consent and preference management, GDPR, and other relevant data governance requirements.
• Experience with Snowflake, Databricks, Azure, AWS, or other modern data platforms.
• Experience with Power BI, Tableau, ThoughtSpot, or similar reporting and visualization solutions.
• Python, Spark, or other automation and data engineering technologies.
• Experience managing third-party data vendors, contractual data delivery obligations, and operational SLAs.
• Knowledge of enterprise data governance, metadata management, data cataloguing, or master data management practices.
• Lead AI-first transformation – Build and scale AI solutions that redefine industries
• Make an impact – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career—Gain hands‑on experience, world‑class training, mentorship, and AI certifications to advance your skills
• Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
• Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
• Thrive in a values‑driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

“Los Angeles, California based candidates are not eligible for this role. Philadelphia, PA/ Raleigh, NC area candidates are eligible for this role only.”

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way.