Program Manager

Senior Associate — Program Management & Analysis (Contract, 12 months) Help build something new — join a small, high-impact team standing up a first-of-its-kind AI disruption monitoring capability for the nation's largest bank. The Center for Economic Intelligence (CEI) is a new organization that monitors, coordinates and develops a holistic internal & external view of the financial well‑being of consumers and businesses through the lens of the company and third‑party data. As the nation's largest bank, we are uniquely positioned to inform public perspective on the direction of the economy. During a time of unprecedented macroeconomic uncertainty and rapid AI‑driven disruption, identifying emerging trends and economic relationships is of heightened importance. As a Senior Associate — Program Management & Analysis, you will be the operational backbone of CEI's new AI monitoring workstream. You will own the process that turns raw data and expert input into regular, high‑quality executive deliverables — coordinating across lines of business, managing the monthly production cycle, and writing the updates that keep leadership informed. You will work alongside a Data Scientist who owns the analytical and technical execution, and report to the workstream lead who sets the research agenda and strategic direction. This is a role for someone who is equal parts organized and curious — someone who can run a tight process while also engaging substantively with the content. You don't need to be a data scientist, but you should be comfortable working with data‑driven teams, learning new tools quickly, and translating technical analysis into clear, compelling narratives. 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 #J-18808-Ljbffr