Hybrid Senior Data Architect – Patient Services, Life Sciences

at Tiger Analytics

• Job title: Senior Data Architect – Patient Services, Life Sciences
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Oracle, SQL
• Location requirements: Hybrid, Boston, United States

About the role

• Data Architect responsible for the integrity and reliability of Patient Services data in Life Sciences. Ensuring analytics-ready data through strategic vendor collaboration and data stewardship.

Responsibilities

• Ensure the integrity and reliability of Patient Services (PS) data.
• Act as the primary bridge between external Patient Services Hub vendors and internal enterprise systems.
• Lead source-to-target mapping from external Hub vendors to internal systems (EDB).
• Define logical/conceptual data models and act as the primary SME for Patient Services data structures.
• Partner with MDM teams to ensure accurate HCO mastering and hierarchy aggregation.
• Identify data gaps and design solutions to roll up Patient Access data across therapeutic areas.
• Proactively resolve data issues and define validation rules.
• Collaborate with DD&T to implement data quality checks within the pipeline ecosystem.
• Direct engagement with PS Hub vendors and aggregators to investigate root causes and enforce Data SLAs.
• Partner with Analytics & Insights (A&I) to build "Analytics Ready Data" (ARD) layers, ensuring data is reliable, actionable, and compliant with audit standards.

Requirements

• 15 + yrs of experience in data architecture, data management, or data engineering roles.
• Strong experience with healthcare, patient services, or life sciences data (mandatory).
• Demonstrated expertise in data quality management, validation, and issue resolution.
• Experience working with external vendors and complex data pipelines.
• Strong SQL skills and experience querying enterprise data platforms.
• Proven ability to translate business needs into data requirements and quality rules.
• Experience supporting Patient Services / Hub data in a pharmaceutical or biopharma environment.
• Familiarity with enterprise data warehouses (e.g., Snowflake, Oracle, Teradata) and data lakes.
• Knowledge of data governance frameworks and master/reference data concepts.
• Ability to operate in a matrixed, cross functional environment.

Benefits

• Significant career development opportunities exist as the company grows.
• Unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
• Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.