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Exponentia.ai

Value Delivery Lead - Data & AI

Mumbai · Staff/Principal

Expect moderate competitionVerified listingPosted 22d ago

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97Experience

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Skills required

25 listed
Database Management SystemsCI/CDProject PlanningScope ManagementStakeholder CommunicationsAzure DatabricksSprint PlanningQuality Management+17 more
Database Management SystemsCI/CDProject PlanningScope ManagementStakeholder Communications

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Job description

Roles & Responsibilities

Project & Program Leadership

  • Lead end-to-end delivery of enterprise Data Engineering, Analytics, AI, and Databricks programs.
  • Drive project planning, scope management, estimation, budgeting, risk management, and stakeholder communication.
  • Manage multiple workstreams across Data Engineering, Database, Cloud, BI, and AI teams.
  • Ensure projects are delivered on time, within budget, and aligned to business objectives.

Databricks & Data Platform Delivery

  • Lead delivery of Databricks Lakehouse implementations, data modernization, migration, and analytics initiatives.
  • Collaborate with Architects and Engineering teams on Databricks, Delta Lake, Unity Catalog, ETL/ELT pipelines, and Lakehouse architectures.
  • Monitor project health, delivery KPIs, platform adoption, governance, and operational readiness.
  • Drive execution of Azure Databricks, AWS Databricks, and cloud-native data solutions.

Database & Data Management

  • Manage large-scale database modernization, migration, integration, and optimization initiatives.
  • Oversee SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, or similar enterprise database platforms.
  • Ensure data quality, security, governance, backup, recovery, compliance, and performance standards are maintained.
  • Coordinate database architecture reviews, capacity planning, and production deployment activities.

Stakeholder & Team Management

  • Act as the primary interface between business stakeholders, delivery teams, vendors, and leadership.
  • Facilitate requirement gathering, solution discussions, sprint planning, steering committee reviews, and status reporting.
  • Manage cross-functional teams including Solution Architects, Data Engineers, Database Developers, DevOps Engineers, BI Developers, and QA teams.
  • Drive Agile delivery practices and continuous improvement initiatives.

Governance, Risk & Quality Management

  • Establish project governance frameworks, RAID logs, escalation mechanisms, and quality controls.
  • Ensure adherence to SDLC, Agile, DevOps, security, and compliance standards.
  • Track program metrics, resource utilization, dependencies, and delivery milestones.
  • Drive issue resolution and mitigate delivery risks proactively.

Pre-Sales & Strategic Contributions

  • Support solution proposals, effort estimation, project planning, and client presentations.
  • Participate in customer workshops, discovery sessions, and technical roadmap discussions.
  • Provide strategic recommendations for data platform modernization and AI-driven transformation initiatives.

Skills Required

Delivery Manager,Data Engineering,Data Analytics,Databricks,Data Warehousing,Unity Catalog,Project Management,Delivery Management,Agile,DevOps

Role

Ideal Candidate Profile

  • 10+ years of overall IT experience with at least 5+ years in Project/Program Management roles.
  • Strong experience delivering Databricks-based Data Engineering, Analytics, AI, or Cloud Transformation projects.
  • Solid understanding of Databricks, Spark, Lakehouse Architecture, Delta Lake, ETL/ELT, Data Warehousing, and Database Management systems.
  • Experience managing database-focused projects involving Oracle, SQL Server, PostgreSQL, MySQL, Snowflake, or equivalent platforms.
  • Good understanding of Azure/AWS cloud ecosystem and modern data platforms.
  • Experience working with Agile, Scrum, SAFe, or hybrid delivery frameworks.
  • Strong stakeholder management, communication, leadership, and decision-making abilities.
  • Ability to manage large, distributed delivery teams and multiple concurrent programs.
  • Experience in cost management, forecasting, resource planning, and vendor coordination.
  • Familiarity with CI/CD, DevOps practices, Git, Azure DevOps, Jira, and release governance.
  • Excellent problem-solving, negotiation, presentation, and client-facing skills.
  • Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
  • Shape the Practice: Build a marquee capability from the ground up with full ownership
  • Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
  • Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
  • Continuous Growth: Access to certifications, tech events, and partner-led innovation labs
  • Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership

Education/Qualification

B.Tech , B.E. MCA, Msc - Science, BCA, Msc -IT, M.Tech , MBA, BBA, Bcom , Mcom,

Job Code

11064

Designation

Technical Project Manager

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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