Technical Program Manager

HAN Digital

Hyderabad, Bengaluru

On-site

INR 3,500,000 - 6,000,000

Full time

5 days ago
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Job summary

HAN Digital in India is seeking a technically strong Technical Program Manager with a solid Software Engineering background and proven experience leading large-scale enterprise technology programs in Bangalore or Hyderabad.

The ideal candidate will have 60+ team management experience, deep fixed-price delivery expertise, and exposure to AI, data and cloud technologies, including GenAI, enterprise clients, governance and risk management. Strong leadership and delivery accountability are essential.

Qualifications

  • Started career as Software Engineers/Developers.
  • Hands-on experience in software development/coding.
  • Experience managing large-scale enterprise technical programs.

Responsibilities

  • Program planning and execution for enterprise tech initiatives.
  • Governance, risk and issue management across multiple teams.
  • Stakeholder management and on-time delivery within budget.

Skills

Software Engineer background
Team leadership
AI
GenAI
Cloud technologies
Data technologies
Fixed-Price delivery
Enterprise programs
Stakeholder management

Job description

Hiring: Technical Program Manager

Location: Bangalore / Hyderabad
Experience: 12 - 18 Years
Role: Technical Program Manager

Role Overview

We are looking for a technically strong Technical Program Manager with a solid Software Engineering background and proven experience managing large-scale enterprise technology programs.

The ideal candidate should have 60+ team management experience, strong Fixed-Price delivery expertise, and exposure to AI, Data, Cloud, and GenAI technologies.

Key Requirements
Software Engineering Background
  • Candidates should have started their career as Software Engineers/Developers.
  • Prior hands-on experience in software development/coding is required.
Program Management
  • Proven experience managing large-scale, enterprise-level technical programs.
  • Experience handling multiple teams, stakeholders, technology streams and complex deliveries.
Team Management
  • Experience managing engineering teams of 60+ members.
  • Strong leadership and people management capabilities.
Technology Exposure
  • Strong exposure to AI, Data and Cloud technologies.
  • Experience should preferably come through enterprise-scale technology programs.
AI / GenAI
  • Good understanding of AI and Generative AI (GenAI).
  • Ability to identify and leverage AI/GenAI capabilities across enterprise programs and solutions.
Fixed-Price Engagements
  • Strong experience managing Fixed-Price projects/programs.
  • Experience across both Greenfield and Brownfield engagements.
Enterprise Client Experience
  • Experience managing technology programs for large enterprise clients is required.
Delivery & Governance
  • Strong ownership of:
    • Program planning & execution
    • Program governance
    • Risk & issue management
    • Stakeholder management
    • Timelines & delivery
    • Budget management
    • Quality management
Technical Leadership
  • Must be technically strong and comfortable engaging with:
    • Engineering teams
    • Solution/Technical Architects
    • Senior stakeholders
    • Enterprise clients
  • Ability to understand and drive complex technology initiatives.
Career Progression
  • Preference for candidates who have progressed from Software Engineering/Development Technical Program Management.
  • Candidates with a purely Project/Program Management background are not preferred.
Not Required

Production support-focused profiles are not required.

Profiles to Avoid

Please do not consider profiles primarily aligned to:

QA / Testing
Agile / Scrum Master
ERP / SAP
Oracle
Packaged Services
Salesforce
Workday Implementation

Ideal Candidate Profile

Software Engineer Technical Lead/Architect Technical Program Manager

A technically hands-on leader with 1218 years of experience, 60+ team management exposure, Fixed-Price program delivery, enterprise client experience, and strong knowledge of AI / GenAI, Data & Cloud technologies.

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