Chief Data & Analytics Office Strategy, Senior Associate

JPMorgan Chase; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase’s Chief Data and Analytics Office (CDAO) seeks a Senior Associate to drive data and AI strategy across the firm. You will develop executive-level analyses, monitor industry trends, and lead cross-functional teams to enable business outcomes in a highly complex financial services environment.

The role requires strong problem-solving, communication, and coaching skills, with experience in strategy engagements and a solid understanding of AI and data.

Qualifications

• 5+ years of strategy experience from a premier management consulting firm or internal strategy group.
• Advanced analytical and problem-solving skills.
• Excellent written and verbal communication for executive audiences.
• Strong relationship-building and collaboration across functions.
• Experience leading strategy engagements and coaching team members.
• Familiarity with AI and data concepts and ability to translate to executives.

Responsibilities

• Manage high-priority strategy projects addressing complex problems in data and AI for financial services, focusing on business outcomes.
• Develop and deliver executive-level strategy documents and analyses on AI and data priorities.
• Monitor industry trends and apply best practices to refine firmwide AI and data strategy.
• Lead strategy project teams and collaborate with stakeholders to gather insights and drive alignment.
• Provide coaching to strategy team members and foster a culture of excellence and innovation.

Skills

Strategy development

Analytical reasoning

Executive communication

Cross-functional collaboration

Leadership of engagements

AI & data familiarity

Education

Economics/Finance/Math/Engineering/Computing degree

Job description

We are looking for a talented Senior Associate to join The Chief Data and Analytics Office (CDAO) team at JPMorgan Chase. This team is dedicated to positioning the firm as the leading data and AI-enabled financial services firm globally. Its mission is to set the firm's data and AI strategic direction, deliver firmwide data and AI solutions and expertise, and establish standards for responsible and controlled adoption. The CDAO strategy team supports that mission by driving strategy development (e.g., on topics like AI-enabled value creation and AI agents), monitoring industry trends (e.g., through engagement with AI transformation leaders, academic institutions and tech innovators), and increasing internal awareness (e.g., best practice sharing on AI transformation).

Job Responsibilities

• Manage high-priority strategy projects to address complex problems at the forefront of data and AI in financial services, with a focus on enabling business outcomes.
• Develop and deliver executive-level strategy documents and analyses that articulate the value, impact, and direction of AI and data priorities.
• Monitor and analyze industry trends, applying leading practices to evaluate and refine the firmwide AI and data strategy, ensuring alignment with firmwide goals.
• Lead strategy project teams and collaborate with stakeholders across different functions to gather insights, conduct analyses and drive alignment.
• Provide coaching to strategy team members, and emulate a culture of excellence and innovation.

Required Qualifications, Capabilities, and Skills

• 5+ years of strategy experience from a premier management consulting firms and/or another internal strategy group.
• Outstanding ability to analyze problems and apply quantitative, analytical and conceptual problem solving approaches.
• Excellent communication (oral and written) and ability to develop high quality strategy end-products.
• Strong relationship-building and interpersonal skills, with the ability to collaborate with stakeholders across functions.
• Proven ability in leading strategy engagements, as well as coaching and developing strategy team members
• Familiarity with AI and data, ability to engage stakeholders on complex technical concepts and generate insights for executive audiences.

Preferred Qualifications, Capabilities, and Skills:

• Undergraduate or graduate degree in economics, finance, math, engineering, computing, or a related field, with a strong analytical background.
• Experience in financial services across consumer and business banking, wealth and asset management and/or corporate and investment banking