Business Operations Manager - Machine Learning and AI

JPMorganChase • Chicago, IL

2d • Onsite

About The Position

As a Vice President, you will lead strategic initiatives that drive innovation and operational excellence. This is an opportunity to work with cutting-edge technology and collaborate with talented professionals across the firm. You’ll play a key role in transforming how we deliver value to our customers and the business. Grow your career while making a meaningful impact on the future of banking. As a Vice President in Machine Learning & Intelligence Operations within Consumer & Community Banking (CCB) Operations, you will set and operationalize the management framework for a rapidly scaling Artificial Intelligence (AI) & Machine Learning (ML) organization. You will lead business management and strategy efforts that enable sustainable growth, organizational effectiveness, and delivery at scale as AI becomes increasingly core to the firm’s operations. Your role will focus on building structure, alignment, and operating discipline across teams while driving AI/ML transformation priorities. Partnering closely with product, engineering, data, risk, and operations leaders, you will translate AI strategy into executable plans, improve how work flows across the organization, and strengthen decision-making, governance, and accountability. You will foster a high-performing, innovative culture that supports both near-term delivery and long‑term AI capabilities at enterprise scale.

Requirements

• 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 Haves

• 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.

Responsibilities

• Lead organizational management and strategic initiatives that enable AI/ML teams to scale effectively while addressing complex, high‑impact problems in financial services.
• Design and evolve operating models, governance structures, and execution frameworks to support rapid growth and increasing AI maturity.
• Drive organizational alignment across leadership and teams by clarifying priorities, roles, decision rights, and dependencies.
• Monitor industry and technology trends to ensure the organization’s structure, skills, and operating approach remain well positioned for the future of AI.
• Lead cross‑functional strategy and execution teams, ensuring consistent delivery, disciplined follow‑through, and measurable outcomes.
• Partner with senior leaders to translate AI and data strategy into execution roadmaps, investment plans, and operating goals.
• Oversee core business management functions, including communications, financial planning, capacity planning, vendor management, and performance management.
• Establish and sustain executive‑level reporting, insights, and narratives that clearly articulate progress, risks, and value realization.
• Coach and develop team members, reinforcing strong management practices, accountability, and a culture of excellence and innovation.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed