Vacancy description
Blue Cloud Softech Solutions Limited
India, India
Blue Cloud Softech - Senior AI Data Product Owner in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Description : Role : Senior AI Data Product https://jobeax.com/link/YBkl9qkaUSoonHzS Objective : Own the end-to-end lifecycle of AI data products on AWS and https://jobeax.com/link/udNFDllLKHMrCiyQ existing dashboards and ad-hoc datasets into governed, reusable, production-grade data products trusted for AI training, evaluation, inference, monitoring, and continuous https://jobeax.com/link/DSIzEdlSdYYY1NeN role guides client Sensors from a dashboard-oriented data culture toward an AI-first operating model where data products are managed as enterprise assets, not one-off project https://jobeax.com/link/PaQugBgSfsV9AwNb Responsibilities : AI Data Product Strategy and Ownership : - Own the AI data product roadmap; translate business priorities into a sequenced backlog of reusable data products with clear owners, service levels, and lifecycle controls.- Partner with dashboard, analytics, and AI delivery teams to identify reporting assets that should evolve into governed AI-ready data https://jobeax.com/link/RWqDqwQPiqijfbRu Product Operating Model and Governance : - Establish product charters defining purpose, consumers, source ownership, data contracts (schema, semantics, freshness, quality expectations, change notification), access models, and retention rules.- Implement table-, column-, and row-level access standards, classification, audit trails, and handling rules via Databricks Unity Catalog and AWS https://jobeax.com/link/oCOUCWLTAMQD4U9U Data Ingestion, Curation, and Productization : - Lead design and operation of incremental, observable, cost-aware ingestion and curation pipelines from enterprise sources into AWS and Databricks.- Create versioned, reproducible training sets, evaluation sets, inference inputs, feature tables, and monitoring datasets with discoverable documentation and https://jobeax.com/link/WW9FKOww9BGJhhP7 Quality Engineering and AI Readiness Gates : - Define AI-specific quality dimensions (completeness, consistency, timeliness, uniqueness, referential integrity, distribution stability, drift sensitivity) with automated checks.- Enforce hard gates that block training, deployment, or production promotion when critical quality checks https://jobeax.com/link/BW4Ff7hLbPFOeM9f Operations, Support, and Continuous Improvement : - Provide runbooks for recovery, backfills, reprocessing, incidents, and escalation.- Participate in operational reviews and drive root-cause corrective actions.- Optimize storage, compute, partitioning, scheduling, and cost transparency across the https://jobeax.com/link/hHGVobqRzhnXoW8L Rights : - Approve data readiness gates before model training, evaluation, deployment, or material changes to production inference inputs.- Escalate data ownership, quality, access, or cost issues that block business outcomes or introduce operational https://jobeax.com/link/dmjCfdAA5xBLbLcX Deliverables : KPI : - Expected outcome.Dashboard-to-data-product transformations : - 1. >= 2 major transformations per https://jobeax.com/link/2xLGS6agNM6XicCC data product coverage : - 1. All critical AI use cases backed by named, governed, reusable data https://jobeax.com/link/mfRcq0zcLhqOFiI5 reproducibility : - 1. Training, evaluation, and inference datasets are versioned, documented, and https://jobeax.com/link/TkLxiI8QwaeKs0Iq quality visibility : - 1. Issues measured, assigned to owners, and trending downward https://jobeax.com/link/YAkzycMm5y7v1GHv and cost scorecards : - 1. Transparency on data health, usage, reliability, and platform cost https://jobeax.com/link/KCHJgtvBKt4TmRKa And Experience : - Education : Bachelor's or higher in Computer Science, Data Science, AI/ML, Applied Mathematics, Engineering, or related field.- Experience : 8+ years in data engineering, data management, AI data foundations, or adjacent technology leadership with proven ownership of data products or critical pipelines delivering measurable business impact.- Technical : Hands-on with AWS, Databricks, Delta Lake, Unity Catalog, data lineage, observability, and production support.- Experience defining data contracts, quality gates, service levels, and access models.- Stakeholder management : Track record working across business leaders, product owners, data/AI engineers, security, and platform teams.- Ability to operate at senior level, challenge incomplete requirements, make trade-offs transparent, and drive decisions when ownership is https://jobeax.com/link/HLsikUBtnTuAcImv Certifications : - Databricks Data Engineer Professional or Databricks Machine Learning Professional.- AWS Certified Data Analytics, AWS Solutions Architect Associate, or AWS Solutions Architect Professional.- Relevant data governance, data management, product ownership, or agile delivery certifications are a plus. (ref:hirist.tech)
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