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Data & AI Platform Delivery Lead

Data & AI Platform Delivery Lead

TechStar GroupHyderabad, Republic Of India, IN
9 hours ago
Job description

Technical Program Manager / Senior Delivery Manager – Data & AI Platforms

Location : Hyderabad

Organization : TechStar Group

Level : Senior Delivery Manager

Role Summary

TechStar Group is seeking a Technical Program Manager / Senior Delivery Manager to lead large-scale Data & AI platform initiatives and manage a diverse pool of over 150+ technical resources across engineering, analytics, and platform delivery functions.

This role requires a strategic technology leader who combines deep hands-on understanding of data architectures and AI / ML platforms with strong program management expertise . You will drive delivery excellence across multiple teams, ensuring that TechStar’s Data & AI programs are executed with precision, scalability, and measurable business impact.

Key Responsibilities

  • Lead, mentor, and drive 150+ technical professionals across data engineering, cloud, analytics, AI / ML, and application teams.
  • Define and manage program vision, scope, roadmap, and delivery strategy for large-scale data and AI transformation initiatives.
  • Oversee end-to-end execution of Data & AI platform programs including cloud data warehouse design (e.G., Snowflake, Redshift, Synapse), AI / ML pipeline implementation, and analytics modernization.
  • Partner with internal stakeholders to ensure alignment of technology delivery with business and operational objectives.
  • Establish and maintain program governance —track milestones, budgets, dependencies, risks, and outcomes.
  • Champion best practices in Agile / Hybrid delivery , DevOps, and continuous improvement.
  • Translate complex technical concepts (data architecture, AI / ML workflows, data models) into business-oriented outcomes.
  • Ensure data security, governance, and compliance are embedded in all deliverables.
  • Manage and optimize resource utilization, workforce planning, and team performance across multiple project streams.
  • Foster a culture of innovation, accountability, and technical excellence within the team.
  • Provide strategic guidance to architects, engineers, and project managers to ensure scalability and sustainability of solutions.

Required Qualifications & Experience

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or Information Systems .
  • 10–15 years of IT delivery and program management experience , with a focus on Data Platforms, Cloud, or AI / ML programs .
  • Proven background as a Data Architect or Solution Architect with experience designing or overseeing cloud data platforms (Snowflake, AWS, Azure, or GCP).
  • Demonstrated success managing large-scale delivery teams (100–150+ resources) across multiple projects and geographies.
  • Strong expertise in data engineering concepts (ETL / ELT, data modelling, data Lakehouse architectures).
  • Familiarity with AI / ML development lifecycle , from model design to deployment and monitoring.
  • Excellent stakeholder management , communication, and leadership skills with the ability to influence both technical and non-technical audiences.
  • Proven experience with program governance frameworks , dashboards, reporting, and risk management.
  • Certifications such as PMP, PgMP, Agile / ScrumMaster, or Cloud Architect (AWS / Azure / GCP) are an advantage.
  • Desired Skills

  • Hands-on exposure to data integration and AI / ML platforms (e.G., Databricks, Sage Maker, Azure ML, Vertex AI).
  • Experience with data platform modernization, migration, or analytics transformation programs.
  • Background in multi-vendor or global delivery environments .
  • Experience in change management , adoption programs , and user enablement for analytics or AI platforms.
  • Key Competencies & Attributes

  • Strong strategic and analytical mindset with ability to manage complex, multi-stream programs.
  • Technically credible — able to engage deeply with architects and engineering teams.
  • Excellent organization, prioritization, and stakeholder engagement skills.
  • Results-oriented leader with a focus on quality, performance, and efficiency.
  • Demonstrated mentorship and team-building capability at scale (100+ members).
  • Passion for data-driven innovation , AI enablement , and continuous learning .
  • Deliverables & Success Metrics

  • Successful delivery of Data & AI programs within schedule, scope, and budget.
  • Improved platform maturity and measurable business outcomes (e.G., reduced latency, better insights, automation).
  • Strong team performance and retention across 150+ technical resources.
  • High stakeholder satisfaction and transparent program governance.
  • Adoption and utilization of Data & AI solutions across multiple business functions.
  • Reporting & Collaboration

  • Reports to : Director / VP – Delivery & Operations, TechStar Group
  • Interfaces with :
  • Data Engineering, Cloud, and AI / ML Teams
  • Product and Business Leads
  • Solution Architects and Technical Delivery Managers
  • PMO, HR, and Vendor Management
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