Technical Project Manager / TPM, Continuous Improvement & AI Enablement

Title: Technical Project Manager / TPM, Continuous Improvement & AI Enablement
Team: EPMO / Technical Program Management
Reports to: Director of Technical Program Management
Location: Chandigarh, India (IDC)

We are looking for a strong execution-oriented program leader to partner closely with the Director of Technical Program Management and key cross-functional leaders to drive continuous improvement and AI enablement across our operating model. This role will work directly with leaders supporting SDLC, release management, operational governance, reporting, workflow optimization, and AI-driven productivity initiatives.

This person will help design, operationalize, and scale improvements across how work is planned, governed, executed, measured, and continuously improved. They will play a key role in advancing enterprise delivery practices, improving cross-functional coordination, identifying inefficiencies, standardizing workflows, and helping embed AI into day-to-day operations, reporting, decision-making, and process automation.

The ideal candidate is highly analytical, execution-focused, comfortable working across ambiguity, and able to move between strategy, process design, tooling, and operational follow-through.

• Partner with EPMO and cross-functional leaders to identify operational inefficiencies, workflow gaps, and execution risks across delivery processes.
  

• Drive continuous improvement initiatives across SDLC, release management, intake, prioritization, governance, reporting, and team operating rhythms.
  

• Assess current-state processes, define future-state workflows, and support rollout of scalable improvements.
  

• Create and maintain process documentation, playbooks, standard operating procedures, governance checkpoints, and adoption mechanisms.
  

• Help define success metrics, KPIs, health indicators, and reporting structures to measure effectiveness of process changes.
  

• Identify practical opportunities to apply AI across project delivery, reporting, operational workflows, documentation, knowledge management, and team productivity.
  

• Partner with business and technical stakeholders to design and implement AI-enabled workflows, automations, copilots, and reporting enhancements.
  

• Help define use cases, requirements, pilots, experimentation plans, and adoption strategies for AI initiatives.
  

• Support implementation of AI solutions that reduce manual work, improve insight generation, increase speed, and strengthen decision-making.
  

• Evaluate tools, workflows, and processes to ensure AI is embedded in a practical, scalable, and measurable way.
  

• Support ongoing improvements to SDLC governance, delivery lifecycle execution, release coordination, and cross-functional readiness.
  

• Partner with stakeholders to improve clarity around planning, ownership, handoffs, dependencies, risks, and execution accountability.
  

• Help standardize workflows across Jira, Confluence, dashboards, and other operational tools to improve visibility and traceability.
  

• Contribute to initiatives that improve release quality, predictability, compliance, and operational transparency.
  

• Support alignment between intake, discovery, prioritization, execution, and post-implementation learning.
  

• Work closely with leaders across EPMO, Product, Engineering, Architecture, Data, Finance, and Operations to move initiatives from concept through implementation.
  

• Structure complex work into executable plans with clear milestones, owners, risks, and decisions.
  

• Lead working sessions, drive follow-ups, remove blockers, and ensure initiatives maintain momentum.
  

• Prepare executive-ready materials including status updates, proposals, decision memos, dashboards, and operating reviews.
  

• Ensure changes are not only designed well, but also adopted, measured, and sustained.
  

• 5+ years of experience in technical program management, business operations, process improvement, operational excellence, or a related role.
  

• Strong experience driving cross-functional initiatives in technology organizations.
  

• Demonstrated ability to improve processes, operating models, governance frameworks, or delivery workflows.
  

• Experience working on SDLC, release management, portfolio operations, or enterprise delivery practices.
  

• Strong understanding of how to translate ambiguous business needs into structured programs and measurable outcomes.
  

• Experience with AI enablement, workflow automation, or operational use cases for AI in business or technical environments.
  

• Strong analytical and problem-solving skills, with the ability to connect process, tooling, metrics, and execution outcomes.
  

• Excellent written and verbal communication skills, including executive-level communication.
  

• Strong facilitation, stakeholder management, and follow-through skills.
  

• Comfortable working in a fast-moving environment with evolving priorities.
  

• Experience in fintech, SaaS, enterprise technology, or highly matrixed environments.
  

• Familiarity with Jira, Confluence, reporting tools, workflow automation tools (Jira native Automations and N8N (optional)) , and AI-enabled productivity platforms ( Gemini, Claude, Cursor )  .
  

• Experience building dashboards, KPI frameworks, operating cadences, or governance models.
  

• Background in change management, process redesign, or digital transformation.
  

• Ability to partner effectively with technical and non-technical stakeholders alike.
  

In this role, success means:

• Key operational improvement initiatives move faster and with stronger follow-through.
  

• SDLC, release, and governance processes become more structured, visible, and scalable.
  

• AI opportunities are translated into practical implementations that save time and improve quality.
  

• Manual processes are reduced through smarter workflows, automation, and better tooling.
  

• Leadership has clearer visibility into execution health, risks, progress, and improvement impact.
  

• Cross-functional teams experience better alignment, less rework, and stronger operational consistency.
  

• Structured and highly organized
  

• Strong bias for action and follow-through
  

• Analytical and systems-minded
  

• Comfortable in ambiguity
  

• Practical, not theoretical
  

• Strong ownership mentality
  

• Able to influence without formal authority
  

• Curious about AI and continuous improvement opportunities
  

• Strong at turning ideas into operating reality