Evergreen Transformation Program Manager

Applicants must be eligible to work in the United States as a 1099 contractor without VISA restrictions. This role does not offer employment sponsorship (e.g., H1-B, transfer or other work authorization support) Transformation Program Manager Role Overview The AI Transformation Program Manager / AI Roadmap & Deployment Lead helps Prometheus clients define, prioritize, govern, and deploy practical AI-enabled capabilities across the business. This role is not expected to be a hands-on machine learning engineer, but must be able to translate business problems into AI opportunities, build an executable roadmap, guide stakeholders through responsible adoption, coordinate technical and business teams, and drive pilots into scaled operating solutions with clear value measurement. About Prometheus Talent Partners Prometheus Talent Partners is a specialized talent, staffing, and advisory firm focused on placing high-quality technology transformation consultants across ERP, data, integration, CRM, cloud, AI, and IT operating model work. Our clients typically include mid-market companies, private-equity-backed businesses, manufacturing/distribution organizations, and companies navigating system modernization, M&A integration, and complex business transformation. Typical Client Engagements AI readiness assessments and enterprise AI roadmap development for mid-market or PE-backed companies. Generative AI / Copilot adoption programs across functions such as IT, finance, customer service, sales, supply chain, HR, legal, and operations. AI use case discovery, prioritization, business case development, and portfolio governance. AI pilot execution and scale-up, including process redesign, workflow automation, data readiness, security review, change management, training, and value tracking. AI operating model design, including governance forums, intake processes, risk controls, vendor/tool evaluation, support model, and adoption metrics. Technology transformation programs where AI is embedded into ERP, CRM, service desk, analytics, document automation, knowledge management, or back-office workflows. Key Responsibilities Lead AI strategy and roadmap efforts, translating executive priorities into a sequenced portfolio of practical use cases, pilots, dependencies, owners, costs, risks, and measurable outcomes. Facilitate discovery workshops with business, IT, data, security, legal/compliance, and executive stakeholders to identify pain points, automation opportunities, data constraints, and adoption barriers. Create use case assessment frameworks that score opportunities by business value, feasibility, data readiness, complexity, risk, time-to-value, and scalability. Develop AI roadmaps that separate quick wins, controlled pilots, foundational enablement, and longer-term transformation opportunities. Build business cases and value realization models for AI initiatives, including productivity gains, cycle-time reduction, cost avoidance, revenue enablement, quality improvements, risk reduction, and user adoption metrics. Establish project governance, including steering cadence, intake process, decision rights, RAID management, responsible AI review, change control, communication routines, and executive reporting. Coordinate cross-functional delivery across business process owners, IT, data/analytics, architecture, cybersecurity, legal, vendors, and implementation partners. Manage AI pilots from concept through launch, including requirements, process design, data needs, vendor/tool coordination, test planning, training, user feedback, go-live readiness, and adoption measurement. Support AI tool and platform evaluations, helping clients compare options such as Microsoft Copilot, Azure OpenAI, OpenAI, AWS Bedrock, Google Gemini, Salesforce AI, ServiceNow AI, Power Platform, automation tools, knowledge management platforms, and industry-specific solutions. Define practical guardrails for AI use, including acceptable use, human-in-the-loop review, data privacy, security, prompt/content handling, model/output validation, auditability, and support ownership. Partner with change management and functional leaders to drive adoption, communication, training, role impacts, and behavior change across impacted user groups. Produce executive-ready deliverables such as roadmap decks, decision memos, use case portfolios, governance models, status reports, value tracking dashboards, and implementation plans. Required Qualifications 7+ years of program management, transformation, management consulting, digital transformation, technology strategy, or enterprise implementation experience. Demonstrated experience leading AI, automation, analytics, digital transformation, process improvement, or technology-enabled business change initiatives. Ability to build a pragmatic AI roadmap that balances business value, technical feasibility, data readiness, change impact, security, and risk. Strong understanding of how AI can be applied across business functions such as IT, finance, customer service, sales, marketing, supply chain, operations, HR, legal, and back-office workflows. Experience facilitating executive and cross-functional workshops, synthesizing input, framing options, driving decisions, and producing clear deliverables. Strong project management discipline, including scope, schedule, RAID, decision logs, dependency management, stakeholder management, communication planning, and status reporting. Ability to partner effectively with technical teams without needing to personally build models or code AI solutions. Strong executive communication skills with the ability to explain AI opportunities, limitations, risks, and tradeoffs in plain business language. Comfortable operating in ambiguous environments where the roadmap, governance, tools, adoption model, and value case may need to be built from scratch. Preferred Qualifications Experience with Microsoft Copilot, Azure OpenAI, OpenAI, AWS Bedrock, Google Gemini, Salesforce Einstein/Agentforce, ServiceNow AI, Power Platform, UiPath, Automation Anywhere, Snowflake, Databricks, or similar platforms. Experience in consulting, private equity portfolio companies, mid-market transformation, manufacturing, distribution, CPG, retail, healthcare, or professional services. Experience creating AI governance, responsible AI controls, acceptable use policies, prompt/use case guidelines, data governance, or model risk review processes. Experience connecting AI initiatives to ERP, CRM, service desk, knowledge management, data/analytics, integration, document management, or workflow automation platforms. Experience with value realization, benefits tracking, ROI modeling, operating model design, and change management. PMP, Prosci, Agile/Scrum, Lean Six Sigma, product management, data/analytics, cloud, AI, or security certification is helpful but not required. Tools / Platforms / Methods Microsoft Copilot, Azure OpenAI / OpenAI, AWS Bedrock / Google Gemini, Power Platform / workflow automation, ServiceNow / ITSM, Salesforce AI, Snowflake / Databricks / Power BI, Miro / Lucidchart, Smartsheet / MS Project / Jira, PowerPoint / executive reporting #J-18808-Ljbffr Prometheus Talent Partners