VP, AI Product & Portfolio

Post Holdings Inc.•Brentwood, MO

5h•Hybrid

About The Position

The VP of AI Product & Portfolio leads Post’s enterprise approach to prioritizing, funding, and governing AI, Generative AI, and agentic workflow investments. The role owns business decisions about which opportunities to pursue and how to deliver them—through an existing platform, a vendor, an in-house build, or a hybrid approach—and tracks the value those investments deliver. The role establishes the AI Product & Portfolio Office, including centralized intake, prioritization, problem definition, success metrics, and funding stage-gates. It partners with executives and division leaders to identify high-friction workflows and shape business challenges into high-ROI AI transformation programs. It also owns business cases and business-side vendor relationships for prioritized use cases. The VP establishes the methodology, governance, executive sponsorship, and roadmap for modernizing priority value streams for AI-enabled work. This includes overseeing process mapping and workflow redesign, helping scale successful pilots into repeatable playbooks, and partnering with technical stakeholders on reusable components. The role sets up portfolio value measurement and executive reporting, including dashboards covering adoption, time to value, model performance, and financial impact. It partners with relevant functions on responsible AI accountability and portfolio controls, and builds and leads the AI Product & Portfolio organizations.

Requirements

Bachelor’s degree in Business, Data Science, Computer Science, or a related field.
10+ years of experience in business strategy, product or portfolio management, or management consulting.
At least 5 years in a leadership role focused on strategy and portfolio governance.
Track record of translating ambiguous business problems into structured, high-ROI transformation programs.
Strong understanding of AI/ML/Generative AI capabilities and the vendor landscape, sufficient to set strategy, challenge recommendations, and make informed investment decisions.
Demonstrated people leadership, including building senior teams, leading through influence, and developing product and portfolio leadership capability.
Strong business acumen and ability to build, defend, and communicate business cases and ROI models to executive audiences.
Executive presence and ability to influence C-suite and division-head stakeholders without formal authority.
Strategic leadership experience governing material commercial relationships and enterprise sourcing decisions.
Process and workflow redesign experience.
Enterprise portfolio and program governance experience, including intake processes, prioritization frameworks, and stage-gates.
Ability to partner effectively across functions, including Legal, IT, Operations, Supply Chain, Compliance, Safety, and HR, without owning execution in those functions.

Nice To Haves

MBA or Master’s degree.
Experience in a complex, multi-business consumer packaged goods, manufacturing, retail, or supply chain-intensive enterprise.

Responsibilities

Lead the AI Product & Portfolio Office and govern centralized intake, prioritization, problem definition, success metrics, and funding stage-gates for enterprise AI, Generative AI, and agentic workflow opportunities.
Partner with the C-suite and division heads to identify high-friction workflows and turn business challenges into high-ROI AI transformation programs.
Assess business value, operational impact, enterprise risk, and implementation readiness to prioritize opportunities.
Own business cases for whether use cases should use an existing enterprise platform, vendor solution, in-house build, or hybrid approach.
Assess ROI, business fit, adoption impact, operating-model scalability, and value realization potential.
Govern vendor selection from a business fit, value, and delivery-accountability perspective; own business relationships, commercial rationale, expected outcomes, and value realization for vendor-enabled solutions.
Establish the methodology, governance, executive sponsorship, and transformation roadmap for redesigning priority value streams for AI-enabled work.
Ensure business processes are optimized before AI investment decisions and provide executive oversight for workflow modernization initiatives.
Lead and oversee process mapping and redesign of legacy workflows across people, handoffs, technology, and decision logic; direct analysis and ensure redesigned workflows are AI-ready and scalable.
Convert successful pilots into repeatable business playbooks, adoption patterns, value cases, and rollout models that can scale across business units.
Partner with technical stakeholders to develop reusable APIs, toolkits, reference architectures, and deployment accelerators.
Establish measurement frameworks and executive oversight to track portfolio performance, validate outcomes, and guide investment decisions across the AI lifecycle.
Publish AI Value Dashboards detailing adoption rates, time-to-value metrics, model performance, and portfolio financial impact.
Partner with the AI Council, Compliance, Legal, IT, Internal Audit, and business leaders to establish responsible AI accountability, escalation paths, and portfolio controls.
Build and lead the AI Product & Portfolio organizations, including portfolio leaders and senior product leaders.
Define capability needs, succession plans, performance expectations, and ways of working across federated product teams.