Senior Manager, AI Program Management

Lead the monthly program reporting cycle end-to-end, including data collection, portfolio dashboard production, variance analysis, and delivery of executive-ready summaries to senior leadership.

Own and continuously improve program tracking tools and processes (e.g., projectmanagementexports, status trackers, milestone logs), proactivelyidentifyinggaps in data quality, timeliness, or coverage.

Analyze program-level KPIs and metrics, synthesizing trends and insights into visualizations and narratives that support executive briefings, steering committee readouts, and board materials.

Manage program documentation standards, including decision logs, action item trackers, and meeting records, ensuring organizational knowledge capture and continuity across all active workstreams.

Manage monthly budget-to-actualsreconciliation across allprogramspend categories, analyzing variances,identifyingtrends, and presenting findings with recommendations to leadership.

Oversee vendor operations including SOW tracking, deliverable accountability, invoice validation, and renewal management, serving asa key operational point of contact for finance and procurement coordination.

Manage license and subscription inventories for AI tools and platforms, analyzing usage patterns and cost trends to inform renewal decisions, optimization opportunities, and budget forecasting.

Drive the full lifecycle of recurring executive and stakeholder forums, including agenda development, material preparation, facilitation support, and post-meeting follow-through with direct accountability for action item closure.

Develop materials for internal and external stakeholder meetings,including program highlights,executive summaries, and status updates for vendor and partner engagements, with minimal directionrequired.

Manage thecoordinationcadence with internal infrastructure and IT teams, including service request prioritizationand trackingto remove blockers for AI development projects.

Manage hiringand staffingpipeline operations, includingonboarding timeline management for domestic and international positions.

Lead resource planning activities bymaintainingteam capacity views, forecasting staffing needs, and tracking open roles, start dates, and backfill requirements to support informed workforce decisions across the AI program.

Bachelor's degree in Business, Computer Science, Engineering, Communications, ora relatedfield.

7+ years in program management, project management, ora relatedoperational leadership role with direct experience managing AI, data, or technology-driven programs or portfolios; professional services or consulting environment strongly preferred.

Strong financial acumen with the ability to manage multi-million dollarprogram budgets, perform variance analysis, and translate financial data into executive-level insights and recommendations.

Advanced Excel and data fluency, including the ability to build budget models, reconcile financial data across multiple sources, and produceaccuratesummaries from complex datasets.

Demonstrated experience with Agile methodologies; PMP or relevant AI/technology certifications are a plus.

Proficiencywith PowerPoint anda track recordof producing executive-quality presentations, dashboards, and board-level materials with minimal direction.

Proficiencywith Microsoft 365 tools (Teams, Planner, SharePoint) and experience with project management or collaboration platforms (e.g., Azure DevOps, Jira, Smartsheet).

Proven ability to manage competing priorities across multiple senior stakeholders, drive accountability on action items, andoperatewith a high degree of independence in a matrixed environment.

Strong written and verbal communication skills, withdemonstratedability to synthesize complex program information into clear, concise, audience-appropriate narratives for executive and board-level audiences.

Experience managing vendor relationships, including SOW oversight, deliverable tracking, and contract administration in a technology or consulting context.

Working knowledge of AI/ML technologies and their application in enterprise or professional services environments.

Experience coordinating across time zones and managing workflows with distributed or offshore teams.

Advanced degree a plus.