Job Title

Role - Architect_Data Platforms & GovernanceExperience - 15+ YearsSkills - data architecting, solutioning and data platformsLocation - MumbaiPlease find the JD belowRole SummaryThe 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 ResponsibilitiesDefine 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.QualificationsBachelor’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 LeaderThe 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 lineageMetadata managementData quality controlsMaster data management (MDM)Regulatory and compliance alignmentWork across the full data lifecycle, including:Data ingestionData modeling (conceptual, logical, physical)Data transformationData validationReporting enablementDevelop and review technical artifacts personally, such as:Architecture diagramsData modelsGovernance workflowsSecurity and access control frameworks