Technical Program Manager

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