Business Operations Manager - Machine Learning and AI

JPMorgan Chase JPMorgan Chase · Banking · Chicago, IL +1 · Consumer & Community Banking

This role focuses on operationalizing the management framework for a scaling AI/ML organization within a financial services context. The Business Operations Manager will lead strategy, design operating models, drive alignment, and ensure effective execution and governance for AI initiatives, aiming to transform how value is delivered to customers and the business.

What you'd actually do

  1. Lead organizational management and strategic initiatives that enable AI/ML teams to scale effectively while addressing complex, high‑impact problems in financial services.
  2. Design and evolve operating models, governance structures, and execution frameworks to support rapid growth and increasing AI maturity.
  3. Drive organizational alignment across leadership and teams by clarifying priorities, roles, decision rights, and dependencies.
  4. Monitor industry and technology trends to ensure the organization’s structure, skills, and operating approach remain well positioned for the future of AI.
  5. Lead cross‑functional strategy and execution teams, ensuring consistent delivery, disciplined follow‑through, and measurable outcomes.

Skills

Required

  • 5+ years of experience in strategy, business management, or organizational leadership within consulting firms or internal strategy/operating groups.
  • Demonstrated ability to scale organizations, manage complexity, and design effective operating models in fast‑moving environments.
  • Strong analytical and problem‑solving skills, with the ability to structure ambiguity and drive execution.
  • Excellent written and verbal communication skills, with experience developing executive‑level materials and leadership narratives.
  • Proven experience leading teams, influencing senior stakeholders, and driving alignment across functions.
  • Working knowledge of AI and data concepts, with the ability to engage technical and non‑technical leaders and translate complexity into actionable insights.

Nice to have

  • Undergraduate or graduate degree in economics, finance, math, engineering, computing, or a related analytical field.
  • Experience supporting large, complex organizations through transformation, growth, or technology modernization initiatives.
  • Background in financial services, including consumer banking, business banking, wealth and asset management, or corporate and investment banking.

What the JD emphasized

  • scale effectively
  • rapid growth
  • AI maturity
  • organizational alignment
  • execution roadmaps
  • operating goals