Release Train Engineer

About the Role:
Grade Level (for internal use):
12 The Team:

Our Technology Governance & Delivery Enablement team at S&P Dow Jones Indices drives operational excellence through Lean Portfolio Management and Agile ways of working across complex product portfolios, value streams and Agile Release Trains. We foster a collaborative culture focused on accelerating technology delivery while embedding innovative AI-enabled practices and Responsible AI governance. As a globally minded team, we value continuous learning, transparency, accountability, and high-performing cross-functional partnerships that deliver measurable business outcomes at scale.
Responsibilities and Impact:

- Lead planning and execution of Program Increments across one or more Agile Release Trains, ensuring alignment between business strategy, portfolio priorities, value stream goals, and measurable delivery outcomes.

- Drive PI Planning readiness by partnering with Product Management, Business Owners, and Technology leadership on vision, roadmap, backlog readiness, dependency identification, capacity planning, and pre- and post-PI planning activities.

- Facilitate core ART operating events including PI Planning, ART Sync, Scrum of Scrums, System Demos, and Inspect & Adapt sessions to improve predictability, quality, transparency, and execution alignment across teams.

- Partner with Product Management and Technology teams to support release-on-demand planning for prioritized epics and features while managing cross-team and cross-ART dependencies, risks, and impediments.

- Coach and develop Scrum Masters and Flow Masters to build high-performing, self-organizing teams while championing adoption and scaling of Lean-Agile, SAFe, Kanban, and continuous improvement practices across the enterprise.

- Enable economic and data-driven decision-making by facilitating feature and capability estimation, applying Agile and flow metrics, and using AI-enabled insights to improve forecasting, capacity planning, bottleneck visibility, and risk management.

- Serve as a trusted change agent and voice of reason across complex stakeholder groups, using strong facilitation, conflict resolution, consensus-building, situational awareness, and transparent communication to drive alignment and accountability.

- Drive continuous improvement through Inspect & Adapt outcomes, program-level metrics, delivery health indicators, team maturity insights, and systemic improvements that advance organizational agility and business value delivery.

- Embed Responsible AI practices across value streams, ensuring adherence to governance standards for human oversight, data privacy, ethical use, technical safeguards, and AI-supported decision-making.

- Use AI-enabled knowledge management practices to capture decisions, action items, delivery insights, and program knowledge to support onboarding, transparency, and consistent execution across the ART.

What We’re Looking For:
Basic Required Qualifications:

- Minimum 7+ years of Agile delivery leadership experience, including significant Release Train Engineer experience across product teams and 5+ years of people management experience in complex, matrixed organizations.

- Proven expertise in SAFe framework, Agile Release Train execution, PI Planning, ART Sync, Scrum of Scrums, System Demos, Inspect & Adapt, and cross-team dependency management.

- Demonstrated experience operating at Program and/or Portfolio levels, aligning execution to business strategy, portfolio priorities, value stream objectives, and measurable business outcomes.

- 3+ years of experience as a team-level or program-level Agile coach, with ability to coach Scrum Masters, Flow Masters, Agile teams, leaders, and stakeholders to improve Agile maturity and delivery effectiveness.

- Strong facilitation, stakeholder management, conflict resolution, consensus-building, and communication skills across business, product, technology, and leadership audiences.

- Analytical minds