AVP, Technical Product Management

Responsibilities

• 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.

Certifications & Qualifications

• Master’s degree in Computer Science