Senior Manager, Commercial Data & Analytics

SUN PHARMA; Princeton (NJ); Hybrid; USD 124,000 - 151,000; Full time

Benefits offered by this job

Annual bonus plan

Medical, dental and vision coverage

401(k) savings plan

Job summary

Sun Pharmaceuticals is seeking a Senior Manager of Commercial Data & Analytics Engineering in North America. You will lead the design, delivery, and evolution of data platforms and data products to enable Commercial Analytics, Insights, and Operations while partnering with business and IT stakeholders.

Responsibilities include governance, vendor management, and platform operations, ensuring scalable, secure, and compliant data foundations in a fast-paced environment.

Qualifications

• Bachelor's degree in a technical discipline; advanced degree preferred.

Responsibilities

• Lead the design, delivery, and lifecycle management of the NA Commercial data lake/lakehouse, analytics platforms, and integration services.
• Define and drive engineering standards for solution quality, testing, deployment, security, and reliability.
• Oversee data ingestion, ETL/ELT pipelines, data models, and reusable data products.
• Manage vendor relationships and delivery with internal/external partners.
• Coordinate production operations, incidents, and change management with IT and partners.

Education

Bachelor's degree in Computer Science, Data Engineering, Information Technology, Engineering, or related technical discipline

10+ years of progressive experience in data & analytics technology

Azure data services and Databricks

SQL and Python/Spark

Data governance, metadata, lineage, data quality, security controls

Experience with pharmaceutical Commercial data (e.g., prescription/claims, CRM)

Tools

Azure

Databricks

AWS (preferred)

Power BI

Job description

Driven by a bold pursuit of science and fueled by an unwavering commitment to patients, Sun Pharma is a leading global pharmaceutical company, providing high-quality medicines trusted by healthcare professionals and patients.

As part of our mission to Reach People and Touch Lives, we deliver Innovative Medicines, Generics and Consumer Healthcare products that improve the lives of millions of people. With a broadly diversified portfolio of products that span multiple therapeutic areas, we improve access to effective, affordable treatments that promote better health and well-being.

Reaching People. Touching Lives.

Job Summary

The Senior Manager, Commercial Data & Analytics Engineering is a senior technical delivery leader within North America Commercial IT. The role leads the design, engineering, delivery, and ongoing evolution of data, analytics and AI platforms and data products that enable Commercial Analytics & Insights, Commercial Operations, and other business units.

Working through internal and external engineering partners, the role translates business priorities into scalable technical designs, governed data products, and reliable analytics capabilities. The Senior Manager provides technical leadership, oversees data and engineering vendors, and coordinates with enterprise IT and other delivery teams.

The role also serves as a key business-facing technology partner, building strong relationships with Commercial and IT stakeholders, communicating effectively across business and technology teams, and balancing multiple priorities and initiatives in a fast-paced environment. The scope is expected to evolve as Commercial data and analytics capabilities expand.

Responsibilities

• Business Partnership, Stakeholder Engagement & Engineering Roadmap
• Partner with Commercial Analytics & Insights, Commercial Operations, and other business units to understand prioritized business needs, KPI definitions, and use cases, and translate them into technical requirements and scalable solutions.
• Build and maintain strong relationships with Commercial and IT stakeholders and serve as a trusted technology partner for Commercial data and analytics initiatives.
• Advise business and technology stakeholders on data availability, feasibility, dependencies, risks, delivery sequencing, and time to value, while helping stakeholders navigate competing priorities and trade-offs.
• Proactively communicate priorities, delivery status, dependencies, risks, and key decisions to business and technology stakeholders and manage expectations across multiple concurrent initiatives.
• Develop and maintain the Commercial Data & Analytics engineering roadmap, release plan, and prioritized technical backlog aligned with business priorities and enterprise architecture.
• Data Platform & Data Product Engineering
• Lead the technical design, delivery, and lifecycle management of the North America Commercial data lake/lakehouse, analytics platforms, and integration services, working through internal and external engineering partners and in alignment with enterprise standards.
• Guide and review the engineering of data ingestion and integration, ETL/ELT pipelines, layered data, data and semantic models, reusable data products, and BI-ready datasets.
• Promote modular, configurable, and versioned designs that allow Commercial hierarchies, mappings, KPI logic, and reporting rules to evolve without rebuilding the underlying data foundation.
• Define and drive practical engineering standards for solution quality, testing, deployment, documentation, security, performance, reliability, and cost efficiency.
• Data Governance, Quality & Compliance
• Put data-governance standards into practice with Commercial Analytics & Insights, business data owners, data stewards, and enterprise teams, including metadata, lineage, quality, access, and retention.
• Establish appropriate data-quality monitoring and reconciliation processes and coordinate resolution of material issues with data providers and delivery teams.
• Support governed master and reference data for key Commercial domains and partner with Information Security, Privacy, Compliance, and Legal to implement applicable controls.
• Data Vendor & Engineering Partner Management
• Lead the technical onboarding and service management of third-party Commercial data providers, including data delivery, quality, changes, and issue resolution.
• Oversee engineering firms, managed-service providers, and GCC resources against agreed SOWs, milestones, service levels, quality expectations, and spend.
• Maintain vendor scorecards and service reviews, coordinate corrective actions, and ensure appropriate documentation, knowledge transfer, and sustainable support models.
• Establish clear accountability across internal teams and external partners and ensure effective communication and coordination across delivery dependencies.
• Platform Operations & Delivery Governance
• Coordinate and oversee production operations with enterprise IT, managed-service providers, and engineering partners, including monitoring, incident and change management, recovery, and business continuity.
• Track delivery health, dependencies, risks, service performance, and costs and provide clear, timely updates and escalations to Commercial and IT leadership.
• Manage multiple concurrent initiatives and priorities, balancing business urgency, technical dependencies, resource constraints, and delivery commitments.
• Drive continuous improvement and coordinate testing, deployment, adoption, and production transition with Commercial Analytics & Insights and other business stakeholders.

Education & Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, Engineering, or a related technical discipline; advanced degree preferred.
• 10+ years of progressive experience in data and analytics technology, including significant experience in cloud data engineering, platform delivery, and business-facing roles.
• Strong experience with Azure data services and Databricks; experience supporting AWS-based data and analytics environments preferred.
• Experience designing data pipelines, layered or medallion architectures, data models, semantic layers, and reusable data products, with the technical depth to review solution designs, code, testing, and production readiness.
• Strong knowledge of modern data-engineering practices, including source control, automated testing, CI/CD, observability, and production support; proficiency in SQL and Python/Spark strongly preferred.
• Experience implementing data governance, metadata, lineage, data quality, master data management, access, privacy, and security controls.
• Experience with pharmaceutical Commercial data, such as prescription and claims, patient, HCP, customer, payer, sales, CRM, and digital data; familiarity with IQVIA, Symphony, or comparable providers preferred.
• Experience overseeing engineering vendors, data providers, and managed-service or globally distributed delivery teams, including SOWs, service levels, budgets, and knowledge transfer.
• Working knowledge of Power BI or comparable BI and semantic-layer technologies and the data foundations that support advanced analytics.
• Excellent communication, stakeholder engagement, and relationship-management skills, with demonstrated ability to influence across functions and communicate effectively with both business and technical audiences.
• Demonstrated ability to manage multiple concurrent priorities, organize complex work, resolve competing demands, and operate effectively in a fast-paced, matrixed environment.
• Strong business partnership, technical communication, vendor management, and problem-solving skills, with the ability to operate effectively in a regulated and changing environment.

The presently-anticipated base compensation pay range for this position is $123,500 to $151,000. Actual base compensation may vary based on a number of factors, including but not limited to geographical location and experience. In addition, this position is part of the Annual Performance Bonus Plan. Employees are eligible to participate in Company employee benefit programs which include medical, dental and vision coverage; life insurance; disability insurance; 401(k) savings plan; flexible spending accounts; and the employee assistance program. Employees also receive various paid time off benefits, including vacation time and sick time.

The compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company, or individual department/team performance, and market factors.

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees as assigned to this job. Nothing herein shall preclude the employer from changing these duties from time to time and assigning comparable duties or other duties commensurate with the experience and background of the incumbent(s).

We provide equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, military or veteran status, generic predisposing characteristics or any other basis prohibited by law.

Notice To Agency And Search Firm Representatives

Sun Pharmaceuticals (Sun) is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Sun employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Sun. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral.