Education: B.E. Computer Science/IT degree (or any other engineering discipline)

Experience: 9+ years

Work timings: 2:00 TO 11:00PM/ 6:30PM to 3:30 AM

Position Requirements:

- Program Strategy & Planning
- Own program charters, end-to end roadmaps, success criteria and alignment to business objectives.
- Translate company strategy into clear program priorities, milestones, and resource plans across multiple teams.
- Lead quarterly and long-range capacity planning, balancing scope, resources and timelines across workstreams.

• Program Execution & Delivery

- Drive delivery of large, technically complex programs comprising multiple projects and teams; ensure on-time, high-quality outcomes.
- Orchestrate cross-functional dependencies, manage sequencing, and remove organizational impediments.
- Operate program-level release, milestone and launch processes; maintain program schedules and integrated plans.

• Technical Leadership & Influence

- Maintain technical fluency across systems (APIs, services, data, infra, web and mobile platforms) to identify risks, trade-offs, and integration concerns.
- Partner with engineering leads and architects to surface technical dependencies, propose solutions, and influence technical direction.
- Lead technical intake, prioritization and change control for program scope.

• AI Programs & Governance

- AI-specific program accountability: Own model lifecycle programs (experimentation → validation → deployment → monitoring → scale), model risk management, and coordination with MLOps and data science teams.
- Governance and control: Implement and maintain governance for clinical, editorial, regulatory, and AI-specific risks (bias, explainability, monitoring), coordinating policies and controls with legal, compliance, and domain stakeholders.
- Offshore reality:



Design and operate for distributed teams—ensure timezone overlap strategies, clear escalation mechanics, minimize decision latency, and define RACI for offshore/onshore handoffs.
- Experience in mentoring engineering teams to integrate AI assistants into their daily development workflows to increase velocity and code quality.

• Stakeholder Management & Communication

- Serve as primary program owner for senior leadership and business partners; run steering committees and executive reviews.
- Produce concise executive-level reporting (status, risks, mitigation, outcomes) and tailor communications for diverse audiences.
- Build strong cross-functional relationships and drive alignment through regular touchpoints and stakeholder feedback loops.

• Risk, Budget & Vendor Management

- Develop and maintain program-level risk registers, contingency plans, and escalation protocols.
- Manage program budgets, track spend vs. plan, and coordinate with finance and procurement as needed.
- Own vendor/third-party integration and delivery where applicable.

• Process, Tools & Automation

- Establish program governance, templates, and tooling conventions to improve visibility and efficiency.
- Identify automation and tooling opportunities (including AI-assisted tooling) to reduce manual work and improve program telemetry.
- Drive PMO maturity: scalable processes, reporting, and knowledge management across the organization.

• Measure Impact





- Define and track program success metrics and business outcomes; iterate to maximize value delivery.
- Ensure learnings are captured and operationalized for future programs.

Role & Responsibilities:

- 10+ years of program or technical project management experience delivering large-scale technical programs in quick-paced, matrixed organizations.
- Proven track record driving multi-team, cross-functional technical initiatives from concept to measurable business outcomes.
- Strong technical literacy (experience with APIs, backend services, cloud infrastructure, data flows and integrations).
- Advanced proficiency with Agile at scale methodologies (e.g., SAFe, LeSS, or equivalent) and deep SDLC knowledge.
- Experience with capacity planning, roadmaps, dependency management, and cross-team prioritization.
- Expert-level proficiency in JIRA and Confluence; comfortable with program/portfolio tooling (Aha!, Productboard, Roadmunk, Airtable, Smartsheet, BI dashboards).
- Excellent stakeholder management and executive communication skills; proven ability to influence without direct authority.
- Strong analytical and problem-solving skills; data-driven mindset.
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- Fluent English.

• Preferred

- Certifications such as PMP, CSM, SAFe Program Consultant (SPC), or equivalent.
- Experience in digital publishing, web/content platforms, AI/ML products, healthcare information systems, or digital media.
- Experience managing program budgets and vendor/contract relationships.
- Familiarity with emerging project automation and Agentic AI tools for program management and decision support.
- Prior experience mentoring PMs and leading PMO or program-level process change initiatives.

Skills:- IT program management, Artificial Intelligence (AI) and Program Management

📌 Senior Technical Program Manager (Mumbai)
🏢 WebMD
📍 Mumbai