Manager, Patient Data Operations & Governance

Genpact; Philadelphia (Philadelphia County); On-site; USD 140,000 - 190,000; Full time

Job summary

Genpact seeks an experienced Manager to lead patient data operations and governance, ensuring accurate, compliant, and timely delivery of patient datasets across commercial, market access, and analytics teams.

The role bridges Patient Services, Market Access, Data Engineering, Analytics, Privacy, Compliance, and external data vendors, delivering scalable data processes for trusted insights at scale.

Qualifications

• Bachelor’s degree in computer science, Information Systems, Data Analytics, Engineering, Life Sciences, Healthcare Administration, Business, or related field.
• 7–10+ years of experience in Data Operations, Data Management, Commercial Data, Healthcare Analytics, Patient Services Analytics, or related disciplines.
• Experience managing healthcare, pharmaceutical, patient, claims, specialty pharmacy, or market access datasets.
• Strong SQL skills with demonstrated experience working with large-scale healthcare datasets.
• Experience performing data reconciliation, quality management, root-cause analysis, and issue resolution.
• Working knowledge of modern data architecture, ETL/ELT pipelines, data warehousing, cloud platforms, and data integration processes.
• Experience interacting with cross-functional business and technical stakeholders.
• Excellent communication, stakeholder management, and problem-solving skills.

Responsibilities

• Own and manage the operational lifecycle of patient-level healthcare data across multiple internal and external sources.
• Oversee data acquisition, onboarding, ingestion, transformation, enrichment, integration, validation, and distribution processes.
• Ensure timely and accurate delivery of patient datasets supporting business and analytical use cases.
• Establish operational standards, monitoring processes, and service-level expectations for patient data assets.
• Act as the primary data steward for assigned patient data domains.

Skills

SQL skills

Stakeholder management

Communication

Problem-solving

Cross-functional collaboration

Education

Bachelor’s degree in CS/IS/Data Analytics/Engineering/Healthcare/Business

Tools

Snowflake

Databricks

Azure

AWS

Power BI

Tableau

Python

Spark

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.

Inviting applications for the role of Manager, Patient Data Operations & Governance

We are seeking an experienced Manager, Patient Data Operations & Governance, to lead the operational management, quality, governance, and stewardship of patient-level healthcare data supporting commercial, market access, patient services, and analytics organizations.

This role serves as a critical bridge between Patient Services, Market Access, Data Engineering, Analytics, Technology, Privacy, Compliance, and external healthcare data vendors. The individual will be accountable for ensuring patient data is acquired, integrated, governed, monitored, and delivered with the highest standards of accuracy, completeness, privacy, and reliability.

The successful candidate will bring a strong understanding of pharmaceutical patient data ecosystems, including specialty pharmacy, patient support programs, reimbursement, claims, and healthcare data sources. They will combine operational excellence with strategic thinking to build scalable data processes that enable trusted business insights and informed decision-making.

Key Responsibilities

• Own and manage the operational lifecycle of patient-level healthcare data across multiple internal and external sources.
• Oversee data acquisition, onboarding, ingestion, transformation, enrichment, integration, validation, and distribution processes.
• Ensure timely and accurate delivery of patient datasets supporting business and analytical use cases.
• Establish operational standards, monitoring processes, and service-level expectations for patient data assets.
• Act as the primary data steward for assigned patient data domains.

Data Quality Management

• Develop and implement comprehensive data quality frameworks covering completeness, accuracy, consistency, validity, timeliness, and integrity.
• Define data quality KPIs, operational scorecards, exception reporting processes, and monitoring controls.
• Investigate complex data discrepancies and perform root-cause analysis across systems, processes, and vendor-supplied datasets.
• Drive remediation plans and long-term corrective actions with business, vendor, and technical teams.
• Continuously identify opportunities to improve reliability and quality of patient data assets.

Data Governance & Stewardship

• Serve as a key contributor to enterprise data governance initiatives supporting patient data domains.
• Define and maintain business definitions, metadata standards, data dictionaries, lineage documentation, transformation logic, and business rules.
• Establish governance controls ensuring consistent usage of patient data across functions.
• Support data ownership, stewardship, retention, access management, and audit readiness activities.
• Partner with enterprise data governance teams to ensure alignment with organizational standards and policies.
• Manage operational relationships with specialty pharmacies, patient hubs, data aggregators, healthcare data providers, and patient services vendors.
• Govern data delivery schedules, SLAs, file specifications, quality expectations, and issue-resolution processes.
• Lead onboarding and integration efforts for new patient data vendors.
• Track vendor performance metrics and drive continuous improvement initiatives.
• Coordinate escalations and resolution of critical data-quality or delivery issues.

Patient Privacy, Security & Compliance

• Ensure patient data processes adhere to HIPAA, privacy regulations, contractual obligations, and internal compliance requirements.
• Support appropriate handling of PHI, PII, tokenized, de-identified, and longitudinal patient datasets.
• Collaborate with Privacy, Compliance, Legal, Security, and Governance teams to implement required controls.
• Maintain evidence, documentation, and audit trails supporting regulatory and internal compliance reviews.
• Assess privacy and compliance considerations for new patient-data initiatives and integrations.

Analytics & Business Enablement

• Partner with Market Access, Patient Services, Commercial Analytics, HEOR, Forecasting, and Business Insights teams to deliver trusted patient datasets.
• Enable reporting and analytical use cases across patient journey analytics, reimbursement tracking, access monitoring, therapy initiation, adherence, persistence, and patient support program effectiveness.
• Ensure downstream consumers have access to well-documented, analysis-ready datasets.
• Translate technical data challenges into business implications and actionable recommendations for stakeholders.
• Support strategic initiatives requiring patient data integration and business intelligence.

Process Optimization & Automation

• Drive automation of data validation, reconciliation, exception management, operational reporting, and monitoring processes.
• Partner with Data Engineering teams to improve scalability and reliability of patient data pipelines.
• Identify opportunities to reduce manual effort while increasing transparency, quality, and operational efficiency.
• Promote best practices in operational excellence, automation, and continuous improvement.

Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Data Analytics, Engineering, Life Sciences, Healthcare Administration, Business, or related field.
• 7-10+ years of experience in Data Operations, Data Management, Commercial Data, Healthcare Analytics, Patient Services Analytics, or related disciplines.
• Experience managing healthcare, pharmaceutical, patient, claims, specialty pharmacy, or market access datasets.
• Strong SQL skills with demonstrated experience working with large-scale healthcare datasets.
• Experience performing data reconciliation, quality management, root-cause analysis, and issue resolution.
• Working knowledge of modern data architecture, ETL/ELT pipelines, data warehousing, cloud platforms, and data integration processes.
• Experience interacting with cross-functional business and technical stakeholders.
• Excellent communication, stakeholder management, and problem-solving skills.

Preferred Qualifications

• Pharmaceutical, Biotechnology, Specialty Pharmacy, Patient Services, or Market Access experience.
• Experience with Patient Support Program (PSP), Hub, Specialty Pharmacy, Specialty Distributor, Claims, Prescription, Reimbursement, and Payer data.
• Knowledge of longitudinal patient data ecosystems and patient identity resolution methodologies.
• Experience working with tokenized healthcare data and privacy-preserving analytics.
• Familiarity with HIPAA, GDPR, and healthcare data governance requirements.
• Experience with Snowflake, Databricks, Azure, AWS, or other modern data platforms.
• Experience with Power BI, Tableau, ThoughtSpot, or similar reporting solutions.
• Python, Spark, or other automation and data engineering technologies.
• Experience managing third-party healthcare data vendors and contractual data delivery obligations.
• Knowledge of enterprise data governance, metadata management, or master data management practices.

What Success Looks Like

Success in this role means patient data is consistently trusted, governed, compliant, and readily available to support business decisions.

You will establish operational excellence across the patient data ecosystem by ensuring:

• Data arrives on time and meets quality expectations.
• Issues are proactively identified and rapidly resolved.
• Governance standards are consistently applied.
• Vendors are effectively managed and accountable.
• Business users have confidence in the data they use.
• Patient privacy and compliance obligations are fully maintained.
• Data assets are scalable, reusable, and analytics ready.
• 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. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.