Executive Director Portfolio Management & Governance

Elevate your career by steering multi-faceted tech programs, integrating innovative solutions for a dynamic impact across global operations. As an Executive Director on Corporate Technology's Portfolio Management & Governance team, you will drive core elements of portfolio planning, investment governance, executive reporting, and process/tooling improvement across a large global technology portfolio. This is a hands-on individual contributor role: you will execute and own defined workstreams end-to-end, operate with strong autonomy, and influence stakeholders through clear, data-driven insights. You will help translate strategy into execution-ready plans and contribute to the teams broader transformation agenda—streamlining processes, improving data quality and tooling, strengthening controls and audit readiness, and personally building and operating AI-enabled solutions to increase efficiency and quality. Job Responsibilities Portfolio planning & investment hygiene: Drive the annual planning cycles for Corporate Technology, in partnership with Finance & Business Management; own discrete planning workstreams as assigned; set standards, calendars, and guardrails; Drive consistency in intra-year planning approaches across CT. Portfolio governance & oversight: Enhance the governance operating model for Corporate Technology's portfolio; ensure investment decisions align with strategy and financial targets. Maintain intra-year controls for reprioritization, funding moves, and exception management. Provide transparency, actionability, and clear recommendations to senior stakeholders; escalate risks, issues, and roadblocks early. Executive insights & reporting : Produce executive-ready insights on budget vs. actuals vs. forecast, delivery health, value realization , and risk posture; Establish consistent metrics and dashboards; ensure parity across self-serve APIs and curated views. Process excellence, tooling & AI enablement: Identify and implement targeted improvements across the portfolio lifecycle: intake → prioritization → approval → tracking → value realization; Partner with product/engineering teams and platform owners to improve tooling adoption, data quality, and automation; Apply AI-enabled approaches to increase efficiency and quality Risk, controls & audit readiness: Embed strong controls in portfolio processes; maintain audit-ready evidence, lineage, and documentation. Develop and implement strategic technical program plans, aligning with organizational goals and cross-functional collaboration Stakeholder management & influence: Partner with Engineering, Product, Finance, and Business Management to align on priorities, dependencies, and outcomes. Coordinate with enterprise investment governance and line-of-business stakeholders to ensure consistency and compliance. Sets enterprise strategy for reuse-first adoption of enterprise-authorized AI capabilities within the work environment to accelerate program planning, risk synthesis, and executive reporting, with human-in-the-loop validation and appropriate handling of sensitive data. Defines and enforces enterprise guardrails for AI-assisted and agentic workflows used in program governance and delivery routines, including control boundaries, traceability/auditability, and review/approval expectations aligned to resiliency and security standards. Required qualifications, capabilities, and skills 7+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations Demonstrated proficiency in technical solutions, vendor product knowledge, managing vendor relations, and implementing solutions Advanced analytical reasoning skills, applying critical thinking and problem-solving techniques to break down business, technical, and operational objectives Proven ability in leading through change, managing dependencies, and controlling change in high-pressure, shifting environments Advanced expertise in stakeholder management, establishing productive relationships, and driving beneficial outcomes aligned with firm objectives Ability to lead complex technology project and program execution, managing resources, budgets, and timelines while mitigating risks and addressing roadblocks Partner with key stakeholders to guide selection and implementation of appropriate technologies, platforms and software tools leveraging advanced technical fluency Deliver continuous improvement by identifying process optimization opportunities, incorporating best practices, and staying abreast of emerging technologies Demonstrated experience leading safe adoption of enterprise-authorized AI capabilities within the work environment at firm scale, including validation practices, data sensitivity considerations, and measurable delivery outcomes. Ability to establish governance and decision frameworks for AI-assisted and agentic workflows, including human approval checkpoints and auditability aligned to resiliency, security, and operational risk expectations. Preferred qualifications, capabilities, and skills Hands on experience with AI-enabled workflow improvements and practical governance considerations (quality, traceability, risk management).