Key Accountabilities:
Strategic Leadership & Governance
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Define and implement enterprise-wide data governance frameworks, quality rules, and validation logic.
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Champion the Shift-Left Strategy by engaging source teams and market data owners early to embed governance and quality practices upstream, reducing rework and accelerating insights.
Operational Excellence
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Strong understanding of metadata & stewardship, DQ, MDM platforms
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Hands on with tools such as Collibra, Ataccama (DQ profiling & automation), or Reltio is a plus.
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Collaborate with data stewards and enterprise data owners to uphold metadata, lineage, and compliance standards.
Innovation & Automation
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Initiate and deliver automation projects to optimize data lifecycle processes and reduce manual overhead.
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Foster innovation to address operational gaps and improve efficiency.
Stakeholder Engagement & Influence
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Act as a trusted advisor to senior stakeholders, promoting data-driven decision-making and co-creation of data products that deliver commercial impact.
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Build strong partnerships across markets, source systems, and governance teams to ensure alignment and adoption.
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Education: Bachelor’s or Master’s degree computer science, Information Systems, or related field.
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Experience: 6+ years in data governance, data quality, or data management roles. Strong understanding of metadata & stewardship, DQ, MDM platforms. Strong understanding of any data assessment framework and data management maturity models.
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Skills: Strategic thinking and ability to influence senior stakeholders. Excellent communication and collaboration skills across global teams. Strong analytical and problem-solving capabilities.
Maturity & Benchmarking
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Support data maturity assessments to evaluate data management maturity, identify gaps, and track progress against benchmarks.
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Develop and execute improvement plans to strengthen data capabilities across domains.
Key Performance Indicators (KPIs)
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Successful implementation of governance and quality frameworks across BSI.
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Improvement in data maturity scores and reduction in data-related rework.
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Adoption of automation initiatives and measurable efficiency gains.
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Positive stakeholder feedback and increased trust in data for decision-making
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together. https://www.novartis.com/about/roadmap/people-and-culture
Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve.
Values and Behaviors: Demonstrates and upholds Novartis values and behaviors in all aspects of work and collaboration.
Location: Hyderabad NKC. Hybrid | 3 days a week in office is mandatory.
