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Tier-1 employer and metro Bangalore increase competition, but senior specialist focus reduces applicant density.
Specialized data governance and consulting skills transfer across industries but require domain and governance experience.
Explicit 10–12 years requirement and mandatory data governance/domain expertise make filters highly stringent.
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Own the enterprise data strategy including analysis of data landscape, consolidation, modernization strategy, and governance foundation for AI initiatives.
Advise business and technology stakeholders on shaping AI-ready, governed, and reusable data assets across Data & AI engagements.
Lead data governance by defining standards, ownership, quality, lineage, privacy, and access controls to enable responsible and compliant data usage.
10–12 years of experience in data strategy, data governance, data architecture, or analytics consulting.
Demonstrated experience with data platform modernization, migration strategy, or lakehouse/cloud data architectures.
Strong knowledge of data management concepts including quality, metadata, lineage, master data management (MDM), privacy, and access management.
Bachelor’s degree or equivalent (B.E/B.Tech/MCA/PhD) in a relevant field.
Experienced consultant capable of defining data governance operating models and transformation roadmaps.
Skilled in collaborating with engineering and architecture teams within services or product organizations.
Effective communicator with strong executive stakeholder management and influence without authority skills.