Alliedsolutions
AI Product and Portfolio Manager (On-Site, IN)
Carmel, IN
Sponsorship not specifiedDetected 30 days ago
Machine LearningLLMsStakeholder ManagementLeadershipCommunicationCollaboration
About the role
- This role translates AI strategy and business demand into a prioritized, value-driven portfolio of opportunities that are clearly defined, aligned to business outcomes, and prepared for effective delivery.
- The role sits at the intersection of business, operations, governance, and technology.
Responsibilities
- Establish and manage structured intake process to capture, evaluate, and prioritize AI opportunities across the enterprise.
- Prepare portfolio recommendations and decision-support materials for AI leadership, AI Governance Committee., product leaders, and executive stakeholders.
- Partner with senior business and operations leaders to move from broad AI requests or vague ideas to clearly defined problem statements, desired outcomes, target users, value hypotheses, and success metrics.
- Partner with the AI Architect, AI Delivery leadership, data partners, and business stakeholders to refine initiatives before proof of concept or execution planning begins.
- Define and maintain portfolio-level measures for expected business outcomes, realized value, adoption, initiative status, and operational impact.
- Partner with the AI Governance Lead, AI Governance Committee, Information Security, Legal, Risk, Compliance, business stakeholders, and delivery partners to support coordinated portfolio decisions.
- Manage AI Intake, Portfolio Prioritization, and Sequencing - 30%
- Manage AI Portfolio Visibility and Value Realization - 20%
Requirements
- 8-10 years of work-related experience.
- Bachelor's degree or equivalent combination of education and experience; master's degree preferred.
- Strong product and portfolio management fundamentals Experience structuring intake, prioritization, backlog management, portfolio visibility, and decision frameworks across multiple initiatives, value streams, or stakeholder groups.
- Ability to translate ambiguous business problems into clear opportunities Skilled at moving from broad AI requests or vague ideas to well-defined problem statements, desired outcomes, target users, success metrics, and value hypotheses.
- Stakeholder management and executive communication Comfortable working with senior business and operations leaders, facilitating alignment, and communicating priorities, tradeoffs, sequencing decisions, expected value, and realized outcomes clearly.
- Value framing and business case development Ability to define expected outcomes, quantify impact such as efficiency, cost, revenue, risk reduction, quality, customer experience, employee experience, scalability, or operational capacity, and articulate why initiatives matter.
- Practical AI literacy Working understanding of AI, machine learning, generative AI, intelligent automation, and emerging AI capabilities sufficient to evaluate opportunities, ask informed questions, assess feasibility at a high level, and partner effectively with technical teams.
- Cross-functional collaboration Ability to work effectively with AI leaders, AI architects, AI delivery teams, engineers, data teams, governance partners, existing product managers, and business stakeholders to move initiatives from idea to delivery readiness.
Nice to have
- master's degree preferred.
Skills
- They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
Compensation
- We offer our employees a robust compensation package!
Benefits
- Maintain portfolio visibility into the AI opportunity pipeline, active initiatives, overlaps, tradeoffs, sequencing decisions, and portfolio health.
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This listing is sourced directly from Alliedsolutions's careers page and normalized into a canonical job model.