Data Quality and Governance

Job Title: Senior Manager, Data Quality & Governance
Location: Hyderabad
Experience Level: 10-14 Years
Preferred Industry: Pharmaceuticals & Life Sciences

Job Requirements:
Essential Knowledge, Skills & Experience:
Platform Expertise: Significant hands-on and design-level experience with Snowflake, including Data Metric Functions, Dynamic Data Masking, Row Access Policies, Tasks, Streams, Snow park, and Horizon governance capabilities.
Technical Skills: Expert-level SQL and strong proficiency in Python or dbt for data quality automation within a Snowflake environment.
Governance Frameworks: Deep understanding of data governance principles, including data quality dimensions, data ownership and stewardship models, data lineage, and access control governance.
Program Delivery: Demonstrated ability to lead and deliver data governance programmers in complex, regulated environments, including the design of enterprise data quality frameworks and metadata management strategies.
Catalog Management: Experience leading or significantly contributing to data catalogue implementations, including business and technical metadata standards, lineage documentation, and governance policy integration.
Leadership & Stakeholder Management: Strong stakeholder engagement and influencing skills, with the ability to operate at a senior leadership level, manage complex workstreams, and coach/mentor junior team members.

Preferred & Desirable Qualifications:
Pharmaceutical Compliance: Experience in a regulated pharmaceutical environment with demonstrable GxP data integrity knowledge and direct exposure to regulatory inspection readiness (FDA 21 CFR Part 11, ICH guidelines, or equivalent).
Certifications: Snowflake SnowPro Core or Advanced certification, or equivalent demonstrated platform expertise.
Advanced Lineage: Experience with Open Lineage federation or cross-platform lineage integration (e.g., Snowflake, Databricks, IDMC).
Emerging Tech: Familiarity with AI governance frameworks and the role of governed metadata in enabling AI-readiness.

Core Behaviors & Competencies:
Strategic Focus: Outcomes-focused and able to translate governance principles into practical, scalable delivery that demonstrably enables business and clinical outcomes.
Executive Credibility: Credible and influential with senior stakeholders; comfortable operating in cross-functional leadership forums and presenting to executives.
Collaborative Leadership: Builds capability in others, fosters a culture of data quality ownership, and drives continuous improvement across the governance function.
Accountability: Operates with a high degree of personal accountability, setting a professional standard for documentation, audit-readiness, and stakeholder communication.

Education & Experience Requirements
Minimum Education & Experience: BS/BA Degree and 10+ years of relevant experience.
Preferred Education & Experience: Advanced degree preferred (e.g., M.S. and 10+ years of experience)