{"id":2688459,"url":"https://alion.io/job/mphasis-technical-architect-data-product-manager","title":"Technical Architect - Data Product Manager","company":{"id":59446,"name":"Mphasis","domain":"mphasis.com","url":"https://alion.io/company/mphasis","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Product","role_family":"Product","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":48000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":988},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T17:15:01Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"JD - Data Product Manager\nData Product Manager - Enterprise Data Platform\nRole Purpose\nOwn the vision, strategy, roadmap, governance, and adoption of the Enterprise Data Platform, enabling trusted, secure, reusable, and AI-ready data products that power business applications, analytics, automation, and digital transformation.\nAct as the single point of accountability for Data Platform, Data Lake, Data Governance, Data Products, AI Enablement, API Management, and Enterprise Data Architecture, ensuring enterprise data is managed as a strategic business asset.\nKey Responsibilities\nDefine and own the Enterprise Data Platform and Data Product strategy, roadmap, and business outcomes.Build and manage enterprise data products across Data Platform, Data Lake, Analytics, AI, and Integration domains.Translate business requirements into scalable, governed, and reusable data capabilities and services.Drive onboarding of enterprise applications, data domains, and data assets onto the platform.Establish and govern Data Quality, Metadata, Lineage, Master Data Management (MDM), Security, and Access Controls.Lead platform modernization, cloud-native data initiatives, self-service analytics, and AI-ready data programs.Partner with Business, Engineering, Architecture, Security, and Analytics teams to maximize platform adoption and business value.Define KPIs, SLAs, adoption metrics, and value realization for enterprise data products.Drive investment decisions, stakeholder engagement, and enterprise-wide data strategy.Build a team to manage the data platformEnterprise Integration & Data Architecture\nLead API-first, event-driven, batch, and real-time enterprise integration strategies.Design and govern seamless data flows across multiple SaaS, cloud, and enterprise applications.\nEnsure high-quality, low-latency, and reliable data movement without data loss or operational disruption.\nDrive Data Lake architectures supporting complex transformations, enrichment, validation, reconciliation, and cross-reference processing.\nEstablish standards for API integrations, CDC, event streaming, data synchronization, and data harmonization.\nImplement and govern Golden Record and Master Data Management (MDM) frameworks to maintain a single source of truth across enterprise systems.\nEnsure all enterprise data products comply with governance, quality, security, privacy, and audit requirements.\nPlatform Ownership & Expertise\nStrong understanding of enterprise-scale Data Platforms, including:\nData Integration, Pipelines, Automation, APIs, CDC, and Event Streaming\nData Lake, Data Catalog, Metadata, Lineage, and Master Data Management (MDM)Golden Record Architecture, Data Quality, Data Governance, and SecurityAI, Copilot, Knowledge Management, and Intelligent AutomationEnterprise Search, Analytics, and Self-Service Data ProductsRBAC, Identity Management, Compliance, and Audit ControlsPlatform Operations, Monitoring, Release Management, and Reliability EngineeringMust possess hands-on experience designing real-time and batch data flows across multiple SaaS and enterprise applications, implementing complex transformations, validations, lookups, cross-reference rules, and maintaining a single source of truth through governed Golden Record and Master Data architectures.\nRequired Experience\n10+ years of experience in Data, Analytics, Data Engineering, Data Architecture, Enterprise Integration, or Digital Transformation.5+ years leading Enterprise Data Platforms, Data Products, Data Governance, or Data Management programs.Proven experience with Data Platforms, Data Lakes, API-based integrations, Analytics, and Governance initiatives.Strong experience managing large-scale enterprise integrations involving multiple SaaS applications and business-critical data flows.Demonstrated expertise in Master Data Management, Golden Record architecture, and enterprise data governance.Strong executive stakeholder management and cross-functional leadership skills.Preferred Technologies\nAzure Data Factory\nDatabricks\nADLS Gen2\nSQL Server\nOracle\nMongoDB\nSnowflake\nAWS Data Services\nKafka\nAPIs\nCDC\nMDM\nData Governance & Catalog Platforms\nPreferred Certifications\nCertified Scrum Product Owner (CSPO) or SAFe Product ManagerCertified Data Management Professional (CDMP)Microsoft Azure Data Engineer AssociateMicrosoft Fabric Analytics Engineer AssociateAzure Solutions Architect ExpertTOGAF Foundation / Enterprise ArchitectureKey Skills\nData Product Management\nEnterprise Data Platform\nData Lake\nEnterprise Integration\nAPI Management\nReal-Time Data Architecture\nGolden Record Management\nMaster Data Management\nData Governance\nData Quality\nMetadata & Lineage\nAI Enablement\nData Architecture\nCloud Data Platforms\nAnalytics\nStakeholder Management\nEnterprise Transformation\nSuccess Profile\nA strategic leader who treats data as a product and combines the capabilities of a Data Product Manager, Enterprise Data Architect, Integration Architect, Data Governance Leader, and Platform Owner.\nResponsible for delivering trusted, governed, real-time, AI-ready, and reusable enterprise data products while enabling seamless integration across multiple SaaS applications, enterprise systems, Data Lakes, AI platforms, and business applications through a 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