[Hiring] Release Train Engineer @S&P Global

Role Description

The 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.

• 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.

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 mindset with proven experience leveraging Agile and flow metrics, such as delivery predictability, throughput, cycle time, cumulative flow, burn-up/burn-down, quality trends, and business value measures, for data-driven decision-making and continuous improvement.
• Experience with Agile project management, collaboration, reporting, and knowledge management tools such as Azure DevOps, JIRA, Confluence, Power BI, Microsoft Teams, SharePoint, VersionOne, or similar platforms.
• Understanding of enterprise software development, product development lifecycle, DevSecOps practices, Lean Portfolio Management, and value stream delivery.
• Exposure to AI-enabled tools or analytics that support planning, forecasting, risk visibility, knowledge management, delivery insights, and team productivity within Agile ways of working.

Requirements

• Bachelor’s degree in Business, Technology, or a related field; Master’s degree preferred.
• Financial services industry experience, particularly within complex enterprise technology environments.
• SAFe Release Train Engineer certification preferred, with additional certifications such as SAFe Program Consultant, SAFe Agilist, SAFe Lean Portfolio Management, or relevant Agile coaching certifications considered a plus.
• Prior experience as a Value Stream Engineer, Release Train Engineer, Agile Coach, or similar enterprise Agile leadership role.
• Deep knowledge of advanced Agile and engineering practices including BDD, ATDD, TDD, CI/CD, automation, Kanban, DevSecOps, and continuous improvement practices.
• Experience applying AI-powered tools, predictive analytics, or automation to improve capacity planning, risk forecasting, delivery optimization, documentation, and decision support within Agile frameworks.

Benefits

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.