Analytics Solutions Manager

We have an exciting opportunity for you to enhance your career in Data & Analytics Product Strategy & Execution teams, contributing to innovative banking solutions.

As a Analytics Solutions Manager within Data & Analytics Product Strategy & Execution team, you will serve as a strategic advisor and execution orchestrator, translating enterprise objectives into a cohesive portfolio strategy, shaping cross-product initiative charters, and driving disciplined delivery and value realization. You will operate at the intersection of product, data/AI, technology, and business leadership to ensure alignment, prioritization, and adoption of AI capabilities at scale.

The Data & Analytics (D&A) Product Strategy & Execution team drives the strategy, governance, and delivery of high-priority AI initiatives across products and lines of business—ensuring measurable outcomes at enterprise scale. 

Job responsibilities

• Portfolio Strategy & Value Realization: Translate enterprise priorities into a portfolio strategy and operating cadence for AI initiatives, with clear outcomes, KPIs/OKRs, and value tracking.
• Strategic Initiative Shaping (Discovery → Delivery): Partner with Product and Business leaders to define initiative charters (problem statement, scope, success metrics, “definition of done,” dependencies, and delivery approach).
• Executive Advisory & Consultative Leadership: Frame ambiguous, complex problems; surface tradeoffs and constraints; guide leaders toward decisions that maximize impact, speed-to-value, and risk-aware execution.
• Cross-Product Governance & Decision Forums: Establish and moderate governance (steerco/forums) to drive timely, evidence-based decisions and resolve risks, issues, and interlocks.
• Roadmap & Dependency Orchestration: Co-develop integrated roadmaps across products, sequencing milestones, releases, and dependencies to optimize delivery and unlock incremental value.
• Delivery Transparency & Insight-Driven Reporting: Provide regular leadership updates with narrative and metrics—progress, outcomes, risks, value indicators, and recommended course corrections.
• Risk, Controls, and Compliance Partnership: Proactively identify risks (delivery, data, model, operational, regulatory) and coordinate mitigation plans with appropriate risk/control partners.
• Capacity & Prioritization Discipline: Drive intake, prioritization, and resource alignment for cross-product initiatives, ensuring investment is directed to the highest strategic value opportunities.
• Adoption & Change Enablement: Ensure initiatives translate into business adoption (enablement, stakeholder readiness, rollout planning, measurement of usage and impact).
• Culture of Strategic Collaboration: Foster a high-performing, continuous-improvement culture that challenges assumptions and promotes clarity, accountability, and outcomes.
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Required qualifications, capabilities, and skills

• Bachelor’s degree required (or equivalent experience) 10+ years in portfolio/program management, product execution, or strategic initiative leadership—ideally within data, analytics, and/or AI environments.
• Demonstrated success leading cross-functional, cross-product initiatives in a matrixed organization, with strong execution rigor and strategic orientation.
• Strong stakeholder management and influence skills, including experience supporting senior/executive decision-making and facilitating governance forums.
• Proven ability to define charters, build integrated roadmaps, manage dependencies, and deliver outcome-based reporting (KPIs/OKRs and value realization).
• Experience driving enterprise platform/capability adoption (enablement, operating model design, measurement of adoption and impact).
• Knowledge of AI/ML concepts and scaling considerations (data readiness, MLOps/ModelOps, responsible AI, monitoring).

• Excellent written and verbal communication; able to synthesize complex topics into crisp executive narratives and actions.

Preferred qualifications, capabilities, and skills

• Experience in a large, matrixed financial services or technology organization.
• Familiarity with portfolio management and product execution frameworks/tools (e.g., agile/lean delivery, OKR-based planning, dependency management).
• Exposure to data governance, regulatory expectations, and risk management in AI/ML contexts.
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JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.