Program Manager

Key Responsibilities:

• Own and manage the end-to-end monthly production cycle for the AI disruption monitoring workstream — from data collection coordination through final report delivery
• Serve as the primary point of coordination across cross-LOB data owners, domain subject matter experts, and internal partners, ensuring timely inputs and feedback at each stage of the cycle
• Draft and produce regular written updates, briefs, and executive summaries that distill complex analytical findings into clear, concise narratives for senior audiences
• Coordinate and facilitate SME check-ins across pillar areas (customer/digital, competitive intelligence, workforce/HR, risk/compliance), preparing agendas, capturing notes, and extracting key signals
• Work closely with the Data Scientist to understand analytical outputs, flag inconsistencies or gaps, and ensure the narrative accurately reflects the underlying data
• Manage stakeholder communications, timelines, and deliverable tracking to keep the workstream on schedule and unblock dependencies
• Leverage AI and GenAI tools to drive efficiency across coordination, note synthesis, first-draft writing, and report distribution — and proactively identify opportunities to automate repetitive tasks
• Help build and refine the processes, templates, and workflows that will define how this capability operates at steady state
• Maintain and organize the workstream's knowledge base, data source inventory, and stakeholder map
• Stay current on the rapidly evolving AI economy landscape — proactively identifying key sources of information, tracking emerging developments, and surfacing relevant signals to the team

Required Qualifications, Capabilities and Skills:

• Bachelor's degree with approximately 5 years of relevant professional experience in program management, strategy, consulting, analytics, or a related field
• Strong written communication skills — demonstrated ability to produce clear, polished deliverables that translate complex or technical material for non-technical audiences
• Proven ability to manage multi-stakeholder processes with competing timelines and drive them to completion independently
• Organizational rigor — comfort managing multiple parallel workstreams, tracking dependencies, and keeping a production cycle on schedule
• Demonstrated familiarity with the AI and GenAI landscape — including awareness of key players, market dynamics, and emerging trends. You should be someone who already follows this space and can identify credible sources of information independently
• Demonstrated early adoption of AI and technology tools in a professional context — you don't need to be a developer, but you should be someone who gravitates toward new tools and figures them out quickly
• Intellectual curiosity and willingness to develop working familiarity with data platforms, analytical outputs, and technical concepts
• Ability to navigate a matrixed organization and build productive working relationships across teams with different priorities
• Comfort with ambiguity — this is a new capability being built from scratch, and the processes you manage will evolve as we learn

Preferred Qualifications, Capabilities and Skills:

• Experience in financial services, economic research, consulting, or technology strategy
• Familiarity with data visualization tools (Tableau, Power BI) or light technical skills (SQL, Python basics)
• Experience working with or alongside data science teams
• Experience building new programs, processes, or operational capabilities from the ground up