Role - Architect_Data Platforms & Governance
Experience - 15+ Years
Skills - data architecting, solutioning and data platforms
Location - Mumbai
Please find the JD below
Role Summary
The D&T Manager Global Data Governance Services is responsible for defining and driving the global data governance technology roadmap, with a strong focus on data cataloging, lineage, analytics enablement, and AI readiness. The role serves as a technical leader and connector across enterprise teams, ensuring governance platforms, data flows, and integrations are scalable, compliant, and aligned to General Mills digital transformation strategy.
Key Responsibilities
- Define and manage the roadmap for data governance platforms (e.g., Collibra, Alation).
- Lead enterprise data lineage strategy, including source integration, gap identification, storage, and visualization.
- Govern catalog compliance programs, platform configuration, upgrades, and enhancements.
- Partner with business and technology stakeholders to translate governance needs into scalable tooling solutions.
- Identify and enable AI/GenAI readiness across Master Data and Data Governance domains.
- Mentor teams on governance practices, AI use-case identification, and technical best practices.
Qualifications
- Bachelor's degree with 15+ years of relevant experience.
- Strong expertise in data governance, data cataloging, data lineage, and analytics platforms.
- Proficiency in SQL, data catalog tools (Alation), cloud data platforms (GCP preferred), and data lineage solutions.
- Experience with Collibra, data quality tools, Python, visualization tools, and enterprise integrations.
- Proven ability to influence across large organizations, lead complex initiatives, and drive change in ambiguous environments.
- Exposure to AI/GenAI adoption, master data management, SAP/non-SAP ecosystems, and retail domain processes preferred.
For the role D&T Manager Global Data Governance Services the expectation is hands-on data architecting and solutioning
Role Expectation Hands-on Data Architect & Solution Leader
The ideal candidate should:
- Possess strong hands-on data architecture experience, with the ability to independently design and implement scalable, secure, and enterprise-grade data solutions.
- Lead solutioning activities directly, translating business requirements into technical architecture without over-reliance on extended teams.
- Design and implement end-to-end data governance frameworks, including:
- Data lineage
- Metadata management
- Data quality controls
- Master data management (MDM)
- Regulatory and compliance alignment
- Work across the full data lifecycle, including:
- Data ingestion
- Data modeling (conceptual, logical, physical)
- Data transformation
- Data validation
- Reporting enablement
- Develop and review technical artifacts personally, such as:
- Architecture diagrams
- Data models
- Governance workflows
- Security and access control frameworks
