Sr Product Manager - AI

McGough Construction CO, LLC is hiring a Senior AI Product Manager to own its enterprise AI capability portfolio and ensure AI investments deliver measurable business outcomes. The role manages AI opportunity intake, prioritization, roadmap, adoption, and value measurement while coordinating business stakeholders and technical teams. It also leads enterprise AI enablement, including training and adoption efforts.

Responsibilities:

• Define, maintain, and communicate the enterprise AI roadmap across ChatGPT Enterprise, Procore Agent Builder, and related AI capabilities, in partnership with Program/Product Managers
• Own the intake, evaluation, and prioritization of AI opportunities and use cases across the business; partner with business teams to identify high-impact opportunities and align investments to business outcomes
• Partner with Product Managers, Product Owners, IT, and business leaders to establish program goals, success metrics, and expected business value
• Develop business cases and value assessments that support prioritization and investment decisions
• Evaluate platform capabilities, vendor offerings, and emerging technologies and guide scaling, expansion, or sunsetting decisions based on business value and impact
• Maintain awareness of emerging AI capabilities and assess applicability to McGough business objectives and operational needs
• Surface cross-functional tradeoffs, dependencies, risks, and impacts to Program Managers, Digital Operations leadership, and domain leadership when AI initiatives impact broader business outcomes
• Partner with domain-level leadership to ensure AI roadmap decisions support coherent, end-to-end business capabilities
• Translate business challenges into clearly defined AI use cases, requirements, adoption strategies, and measurable outcomes
• Partner with Product Managers, Business Analysts, Application Specialists, Data Engineering, Analytics, and technical teams to define and deliver AI-enabled capabilities
• Evaluate business challenges and determine the most appropriate solution approach, including process improvement, analytics, automation, generative AI, predictive modeling, or application-based capabilities
• Support pilot programs, proof-of-concepts, and experimentation efforts to validate business value and organizational readiness
• Manage third-party vendors and service providers to ensure accountability to scope, outcomes, and SOWs
• Collaborate with business and technical teams to ensure AI solutions integrate effectively into existing workflows, processes, and systems
• Partner with Data Governance, IT, HR, Legal, and business leaders to ensure AI capabilities align with enterprise policies and responsible-use expectations
• Define what successful AI adoption looks like across user groups, departments, and business functions
• Lead enterprise AI enablement strategies, including training programs, office hours, learning pathways, and champion networks
• Create and maintain internal documentation, quick-start guides, playbooks, and use case repositories aligned to business processes
• Reinforce expected behaviors and responsible-use workflows through communication, training, and ongoing engagement
• Partner with business stakeholders, Program Managers, BAs, and IT to identify adoption gaps and adjust enablement strategies accordingly
• Gather user feedback, success stories, and lessons learned to continuously improve adoption and user experience
• Establish KPIs and success metrics tied to adoption, utilization, productivity improvements, business outcomes, and value realization
• Track program progress through defined metrics including adoption, usage, quality, satisfaction, and realized business value
• Develop executive-level reporting and visibility into portfolio performance, risks, opportunities, and outcomes
• Monitor and communicate realized business value from AI investments and recommend adjustments to portfolio priorities based on measured outcomes
• Identify opportunities to improve, expand, retire, or scale AI capabilities based on measurable results and evolving business needs
• Champion AI-specific delivery standards, documentation practices, and continuous improvement efforts in partnership with IT and Program Management
• Collaborate with vendors and delivery partners to ensure solutions align with business needs and deliver expected value
• Actively contribute as a member of the Emerging Technology team, collaborating to support shared goals and objectives
• Attend training for personal and/or professional development
• Represent McGough professionally at all events, upholding company standards and serving as a positive ambassador
• Collaborate across departments and with external stakeholders to ensure cohesive project execution
• Actively support and participate in Lean events, promoting the McGough Way and fostering a culture of continuous improvement
• Other duties as assigned

Requirements:

• 7+ years of experience in digital product management, enterprise platform ownership, or enterprise application strategy
• 2+ years of experience owning or managing an internal digital product or platform with emerging technology components
• Fluency in Large Language Models (LLMs) and generative AI capabilities, limitations, and common enterprise risks
• Proven ability to lead cross-functional teams to define and deliver digital tools that align with business and workforce needs
• Demonstrated success in building and managing a business-focused roadmap for enterprise platforms that align to broader business capabilities and adjacent systems
• Experience running structured intake, prioritization, and value assessment processes; defining business use cases and building business cases
• Experience partnering with IT and Deployment Program Managers to define scope, success metrics, and delivery milestones
• Strong communication, stakeholder engagement, and organizational influence skills; able to lead cross-functional initiatives and influence without authority
• Strategic product thinking paired with strong execution discipline; able to define and defend investment priorities
• Strong collaboration and facilitation skills; able to drive clarity and accountability in complex initiatives
• Comfortable managing ambiguity, prioritization, and change across competing priorities
• Comfortable leading enablement, adoption, and capability development initiatives across diverse user groups
• Strong analytical capability to define, track, and communicate adoption, performance, and business value metrics
• Technically fluent enough to challenge assumptions and validate feasibility with IT and vendors
• Systems-oriented thinking, with awareness of cross-platform dependencies and downstream impacts
• Financial acumen to support budgeting, forecasting, and business case development
• Experience with project and product management tools (JIRA, Confluence, Smartsheet, MS Project, etc.)
• Clear, confident communicator with executive presence and attention to detail
• Experience working with Data Science, Analytics, Data Engineering, Machine Learning, or Intelligent Automation teams
• Background in organizational change management, digital transformation, or innovation programs
• Experience developing business cases, value realization frameworks, or investment recommendations
• Familiarity with construction or project-based operational workflows
• Systems-oriented thinking with awareness of cross-platform dependencies and downstream impacts
• Familiarity with Agile delivery models, digital transformation initiatives, and organizational change management
• Bachelor's or Master's degree in Computer Science, Information Technology, Business Administration, or related field, or equivalent experience