Senior Manager - Data Solutions

NOVARTIS

10 - 15 years

20 - 25 Lacs

hyderabad

Posted:5 hours ago| Platform:

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Skills Required

pharmaceutical vsat designing etl data warehousing data engineering sales marketing pama satcom r tdma satellite communication data modeling procurement leadership manufacturing life sciences etl data integration reporting communication skills dama

Work Mode

Work from Office

Job Type

Full Time

Job Description

Formulate and implement strategies, execution plans, and governance frameworks for data initiatives across the commercial domain, ensuring alignment with business objectives.
Act as a primary liaison among cross-functional teams, promoting data integrity, accessibility, and scalability to facilitate superior customer experiences.
Uphold compliance with established data governance policies and security protocols to safeguard sensitive information; conduct periodic audits to verify adherence to these standards.
Establish and enforce data quality standards to ensure reliable data is available for reporting and data science applications.
Define and manage data dictionaries and metadata repositories to enhance data discoverability and usability.
Support the development of reusable data assets and frameworks that accelerate time-to-insight for commercial teams
Remain informed on industry developments, regulatory requirements, and best practices related to data governance, recommending necessary updates to existing procedures.

Education (Minimum/Desirable):

Bachelor s or master s degree in computer science, Engineering, Information Systems, or a related discipline.

Experience / Skills:

Minimum of 10 years experience as a data strategy/quality lead or data governance manager in a global organization, with proven success in leading large-scale enterprise programs.
Comprehensive knowledge of the pharmaceutical industry and data standards, with domain expertise in at least one of the following areas: Pharma R&D, Manufacturing, Procurement and Supply Chain, or Marketing and Sales. Experience in Pharma/Life Sciences is highly preferred.
Experience with data modeling, ETL design, and data integration from multiple sources.
Working knowledge of implementing / governing data engineering pipelines for downstream commercial analytics consumption.
Proficient understanding of DAMA-DMBOK and DCAM frameworks; relevant certifications are advantageous.
Stitching business and technical metadata information on Collibra or related tools to democratize data usability across the enterprise.
Good understanding of establishing the definitive framework for implementing AI governance
Exceptional leadership abilities and the aptitude to influence key stakeholders in international markets.
Superior communication and collaboration skills, particularly with senior leadership.

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