Senior Specialist, Data Stewardship

• Support the strategy, governance, and lifecycle framework for business rule management and data quality management within DHH, with an initial focus on Oncology.
• Partner with cross-functional business, data, technology, and governance stakeholders to translate business needs into defined data rules, quality checks, governance processes, and implementation requirements.
• Create and maintain business rule documentation, including ownership, traceability, versioning, approval workflows, and change management practices.
• Contribute to data quality standards, profiling approaches, issue management processes, root cause analysis, remediation tracking, scorecards, and KPIs.
• Identify opportunities to simplify, automate, and scale business rule and data quality processes through improved workflows, tooling, AI-enabled capabilities, and reusable operating models.
• Collaborate with data engineering and platform teams to support accurate implementation of business rules and data quality checks within database structures, Databricks, SQL-based processes, and related data platforms.
• Support change management and adoption activities for upcoming Oncology launches, evolving business needs, and expansion of the model to additional therapeutic areas.
• Communicate data, rule, and quality concepts clearly to both technical and non-technical stakeholders, including senior business partners.

• Bachelor’s degree in data management, information systems, computer science, business, life sciences, or a related discipline; or equivalent practical experience.
• Relevant experience working with healthcare, life sciences, commercial, clinical, or regulated data environments.
• Experience in business rule management, data quality, data governance, data management, business analysis, or related data strategy work.
• Ability to translate business requirements into data rules, quality checks, governance processes, or automated data management workflows.
• Technical understanding of database structures and data platforms, with practical experience using SQL.
• Experience working with cross-functional teams and influencing stakeholders without direct authority
• Effective written and verbal communication skills, including the ability to explain technical and data concepts to non-technical audiences.
• Strong analytical thinking, problem-solving, organization, and attention to detail.
• Experience using JIRA or similar tools to manage requirements, workflows, issues, or delivery activities.

Demonstrates expertise in business rule management, data quality management, and data governance within healthcare and life sciences. Proficient in translating business needs into actionable data rules and quality checks while effectively communicating with both technical and non-technical stakeholders.

• Business Rule Management
• Data Quality Management
• Data Governance
• SQL Proficiency
• Cross-Functional Collaboration

• Data Management
• Business Analysis
• Root Cause Analysis
• Change Management
• Data Profiling

• Analytical Thinking
• Problem-Solving
• Attention to Detail
• Effective Communication

• Healthcare
• Life Sciences
• Regulated Data Environments
• KPI Tracking

• JIRA
• Databricks