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 GroupInterfaces with :Data Engineering, Cloud, and AI / ML TeamsProduct and Business LeadsSolution Architects and Technical Delivery ManagersPMO, HR, and Vendor Management