You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
As a Product Manager in Product Operations team, you will own the Product Agility Lead/Agile Lead (PAL/AL) Mobilization program endtoend across India and the US. You will build and run a digitalfirst capability engine that standardizes ways of working, drives adoption, and delivers measurable improvements in flow and quality metrics (e.g., cycle time, change failure rate, backlog hygiene, say/do performance). You will launch a modular learning pathway, orchestrate flippedclassroom labs and cohortbased field projects, embed controls into everyday practices, and implement a structured mechanism (e.g., performancebased gating). You will partner closely with portfolio sponsors, the Change/Enablement team, and Site Change Enablers to execute locally, and you will govern progress through organizationstandard dashboards and agile tooling.
Job responsibilities
- Own the PAL/AL Mobilization program endtoend across India and the US: set strategy and scope, define outcomes and KPIs, secure stakeholder buyin, plan and run pilots, and scale delivery across portfolios and sites.
- Design and launch a digitalfirst, modular training pathway for agile product delivery (controls, flow and quality metrics such as cycle time and change failure rate, AI/LLMenabled development, quarterly planning, backlog health) with clear sequencing and prerequisites, and a flippedclassroom model that requires mastery checks before instructorled labs.
- Build and run the Digital Hub with the Change/Enablement team, curating playbooks, templates, training content, and trackers standardize globally and localize for India as needed maintain a regular update cadence and monitor usage/adoption analytics.
- Plan and deliver quarterly learning cohorts at each site, including instructorled practice labs (post selfpaced completion), office hours, and peer learning circles coordinate local logistics and feedback capture with Site Change Enablers.
- Implement performancebased gating for delegation of decision rights: link authority to sustained KPI thresholds (e.g., cycle time distribution, firsttime release quality, backlog hygiene) with timebound renewal embed readiness gates (DoR/DoD, quality checks) and data hygiene rules in agile tooling (e.g., Jira) to standardize practices and enable crossportfolio mobility.
- Run portfolio leadership and agile lead checkins publish meeting summaries and action trackers maintain adoption dashboards (training completion, tool usage, outcome metrics) host peer communities of practice for knowledge sharing and coaching, with clear feedbacktoaction updates.
- Govern delivery performance using organizationstandard dashboards and agile tooling track flow and quality metrics (e.g., cycle time distribution, change failure rate, backlog hygiene, say/do ratio, throughput, WIP, defects) and ensure metrics are reviewed in objectives and key results (OKR)/quarterly checkins initiate corrective actions where targets are missed.
- Drive corrective actions, quarterly retrospectives, and variance reduction across squads and portfolios document playbooks and improvement actions close gaps against standards.
- Champion approved AI tools (e.g., Product GPT and the internal LLM suite) for backlog/story and acceptancecriteria acceleration and analysis define guardrails measure time saved and quality uplift report AI adoption and ROI.
- Manage risks, escalations, and capacity constraints across cohorts and portfolios maintain risk and dependency logs and mitigation plans.
- Integrate controls into the way of working: embed quality gates, change requests, and release discipline within ceremonies and Jira workflows ensure audit readiness and endtoend traceability.
Required qualifications, capabilities, and skills
- 10+ years leading product/agile/operating model transformation, with 5+ years running multi-team enablement programs at scale.
- Proven delivery of digital-first capability programs (self-paced training, flipped labs, field projects) with measurable improvement in flow and quality metrics (e.g., cycle time, change failure rate, backlog hygiene, say/do ratio).
- Deep fluency with agile delivery tooling and dashboards (e.g., Jira) and governance metrics strong data storytelling and decision-making from dashboards.
- Practical change leadership using industry frameworks (e.g., ADKAR, Kotter), including resistance management experience aligning product and technology in large, matrixed organizations.
- AI literacy: champion-level use of approved LLM tools to accelerate backlog/story and acceptance criteria, with clear guardrails and ROI tracking (time saved, quality uplift).
- Exceptional stakeholder engagement and communication skills executive presence negotiation and conflict management ability to influence without authority.
- Strong understanding of product and software development lifecycles (PDLC/SDLC) hands-on facilitation of discovery, quarterly/PI planning, sprint execution, dependency alignment, and release discipline integrates risk and control checkpoints into ways of working.
- Metrics orientation: able to interpret and act on cycle time, change failure rate, backlog hygiene, say/do ratio, throughput, WIP, and defects reduce variance across teams publish meeting summaries and action logs uphold readiness gates and hygiene standards.
- Willingness to travel across India sites on-site presence as needed for bootcamps, labs, peer forums, and stakeholder reviews.
Preferred qualifications, capabilities, and skills
- Experience with portfolio-level planning and multi-site rollout of enablement programs.
- Familiarity with enterprise agile frameworks (e.g., SAFe) and portfolio tooling (e.g., Jira Align or equivalents).
- Background in designing role-based decision-rights models (e.g., performance-gated readiness, certification, or micro-credentials).
- Experience implementing workflow automation and data quality rules in agile tooling (e.g., preventing orphaned/aged items, enforcing readiness gates).
