Responsibilities
- Support ownership of assigned Core product components across requirements, design, build, and release.
- Gather and document requirements; translate into user stories, acceptance criteria, and backlog items.
- Define and maintain schemas, mappings, and business rules aligned to Core standards and MDM publishes.
- Coordinate build/validation with DD&T and offshore QA; support release readiness and documentation.
- Produce and maintain product documentation (product summaries, lineage views, business rule definitions, sample queries).
- Participate in enablement (schema walkthroughs, office hours) and respond to franchise questions.
- Assist with franchise migrations from legacy/bespoke assets to Core solutions.
- Manage backlog items; support refinement, sprint planning, demos, and retrospectives.
- Track dependencies, risks, and delivery status for assigned workstreams.
- Participate in design reviews, standards forums, and data governance touchpoints.
Qualifications
Required
- Bachelor’s degree in Information Systems, Statistics, Business, or related field.
- 2–5 years’ experience in data product management, data engineering, data modeling, or analytics in a matrixed environment.
- Hands-on dimensional data modeling (facts/dimensions), semantic layers, and basic data quality.
- Familiarity with commercial pharma data domains (CRM/field activity, omnichannel interactions, HCP/HCO, affiliations, market access).
- Working knowledge of cloud data platforms (e.g., Databricks), ELT/ETL, and release management.
- Ability to write clear requirements/acceptance criteria and work effectively with engineering teams.