Own portfolio investment strategy and prioritization for the BSE department’s portfolio of products (including supporting platforms and shared services), balancing value, economics, risk, and dependencies.
Standardize business cases and ROI narratives (unit economics, cost-to-serve, TCO, run vs. change) and ensure benefits are tracked post-launch.
Establish portfolio-level visibility and governance: integrated roadmaps, outcome metrics, leading indicators, and decision-ready tradeoff recommendations.
Own and continuously evolve the technical product operating model across BSE—including intake, discovery, prioritization, roadmap governance, and executive decision forums—ensuring strong alignment with CTX Product Leadership.
Establish clear decision rights and end-to-end accountability from intake through adoption and realized value.
Set the bar for technical product management: role definitions, competencies, career architecture, and performance expectations.
Lead the talent strategy: hiring, coaching, performance management, and succession planning to build a durable bench of product leaders in BSE.
Drive AI adoption across the technical product management function to enable the transition from SDLC to AIDLC.
Define standards, guardrails, and playbooks for AI-enabled product practices (e.g., AI-supported discovery, requirements/acceptance criteria, backlog quality, experiment design, and post-launch learning loops).
Serve as a primary decision partner to BSE/CTX executives by framing complex tradeoffs into clear options, implications, risks, and recommendations.
Requirements
Master’s degree (MS/MA) in Computer Science desired.
10 years in technical product management, platform product leadership, and/or technical portfolio leadership in large-scale software/platform environments.
7+ years leading multi-team product organizations, including operating model design, org design, hiring, performance management, and succession planning (preferred).
Proven ownership of a large, multi-year portfolio across multiple products/platforms, including investment planning, prioritization, and benefits realization.
Experience modernizing product/engineering ways of working through AI-enabled product/platform practices and tooling, with demonstrated impact on throughput, quality, cost, and predictability.
Strong capability in business cases and ROI/value narratives, with a track record of measuring outcomes post-launch.
Executive presence and governance leadership; experience leading portfolio decision forums and clarifying decision rights in a matrixed enterprise.
Deep technical fluency (APIs/integration, distributed systems, cloud, CI/CD, observability/SRE, data foundations, secure SDLC) sufficient to challenge designs and guide platform strategy.
Demonstrated impact through platform leverage: reuse/standardization, reduced technical debt/duplication, improved reliability and developer productivity.
Exceptional written and verbal communication; ability to produce crisp executive materials and influence across cross-functional stakeholders.