{"id":1251954,"url":"https://alion.io/job/blue-cloud-softech-solutions-ltd-senior-ai-data-product-owner","title":"Senior AI Data Product Owner","company":{"id":3802011,"name":"Blue Cloud Softech Solutions Ltd","domain":"bluecloudsoftech.com","url":"https://alion.io/company/blue-cloud-softech-solutions-ltd","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-09-16T07:24:40Z","employer_posted_date":null,"last_verified_at":"2026-09-16T07:24:40Z","board_verified":false,"closed_at":null,"days_open":18,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":18},"description":"Job Description : \n\nRole : Senior AI Data Product Owner.\n\nRole Objective : \n\nOwn the end-to-end lifecycle of AI data products on AWS and Databricks.\n\nTransform existing dashboards and ad-hoc datasets into governed, reusable, production-grade data products trusted for AI training, evaluation, inference, monitoring, and continuous improvement.\n\nThe 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 outputs.\n\nCore Responsibilities : \n\nAI Data Product Strategy and Ownership : \n\n- 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.\n\n- Partner with dashboard, analytics, and AI delivery teams to identify reporting assets that should evolve into governed AI-ready data products.\n\nData Product Operating Model and Governance : \n\n- Establish product charters defining purpose, consumers, source ownership, data contracts (schema, semantics, freshness, quality expectations, change notification), access models, and retention rules.\n\n- Implement table-, column-, and row-level access standards, classification, audit trails, and handling rules via Databricks Unity Catalog and AWS controls.\n\nAI Data Ingestion, Curation, and Productization : \n\n- Lead design and operation of incremental, observable, cost-aware ingestion and curation pipelines from enterprise sources into AWS and Databricks.\n\n- Create versioned, reproducible training sets, evaluation sets, inference inputs, feature tables, and monitoring datasets with discoverable documentation and metadata.\n\nData Quality Engineering and AI Readiness Gates : \n\n- Define AI-specific quality dimensions (completeness, consistency, timeliness, uniqueness, referential integrity, distribution stability, drift sensitivity) with automated checks.\n\n- Enforce hard gates that block training, deployment, or production promotion when critical quality checks fail.\n\nProduction Operations, Support, and Continuous Improvement : \n\n- Provide runbooks for recovery, backfills, reprocessing, incidents, and escalation.\n\n- Participate in operational reviews and drive root-cause corrective actions.\n\n- Optimize storage, compute, partitioning, scheduling, and cost transparency across the platform.\n\nDecision Rights : \n\n- Approve data readiness gates before model training, evaluation, deployment, or material changes to production inference inputs.\n\n- Escalate data ownership, quality, access, or cost issues that block business outcomes or introduce operational risk.\n\nKey Deliverables : \n\nKPI : \n\n- Expected outcome.\n\nDashboard-to-data-product transformations : \n\n- 1. >= 2 major transformations per year.\n\nAI data product coverage : \n\n- 1. All critical AI use cases backed by named, governed, reusable data products.\n\nDataset reproducibility : \n\n- 1. Training, evaluation, and inference datasets are versioned, documented, and quality-gated.\n\nData quality visibility : \n\n- 1. Issues measured, assigned to owners, and trending downward quarter-over-quarter.\n\nQuality and cost scorecards : \n\n- 1. Transparency on data health, usage, reliability, and platform cost drivers.\n\nQualifications And Experience : \n\n- Education : Bachelor's or higher in Computer Science, Data Science, AI/ML, Applied Mathematics, Engineering, or related field.\n\n- 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.\n\n- Technical : Hands-on with AWS, Databricks, Delta Lake, Unity Catalog, data lineage, observability, and production support.\n\n- Experience defining data contracts, quality gates, service levels, and access models.\n\n- Stakeholder management : Track record working across business leaders, product owners, data/AI engineers, security, and platform teams.\n\n- Ability to operate at senior level, challenge incomplete requirements, make trade-offs transparent, and drive decisions when ownership is unclear.\n\nPreferred Certifications : \n\n- Databricks Data Engineer Professional or Databricks Machine Learning Professional.\n\n- AWS Certified Data Analytics, AWS Solutions Architect Associate, or AWS Solutions Architect Professional.\n\n- Relevant data governance, data management, product ownership, or agile delivery certifications are a plus.\nSkills\nArtificial Intelligence, Product Management, AI Product Management, AWS, Databricks, Product Strategy, Product Roadmap, Data Ingestion, Data Quality, Machine Learning","description_format":"text","description_chars":4649,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Information Security"],"lifecycle":[{"event":"open","at":"2026-09-25T18:04:06Z"}],"visa":[],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.732,"p_room":0.75,"age_days":17,"expected_fill_days":24,"reasons":["seen:17","velocity","win:late"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/blue-cloud-softech-solutions-ltd-senior-ai-data-product-owner","json_url":"https://alion.io/job/blue-cloud-softech-solutions-ltd-senior-ai-data-product-owner.json","meta":{"generated_at":"2026-10-05T00:39:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":836,"day_limit":5000,"remaining_today":4164,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}