Join a team transforming how data and analytics deliver value across the enterprise. You will lead the agility strategy and operating model that accelerates delivery and improves outcomes. You’ll scale modern product practices, lean portfolio management, and organizational change to unlock throughput, quality, and predictability. Grow your career by building high-performing teams and shaping the adoption of artificial intelligence and machine learning (AI/ML) and data platforms powering key experiences.

As a Director of Agility in Data and Analytics, you own the agility strategy across data platforms, data products, data management and governance, data publishing and processing, applied artificial intelligence and machine learning (AI/ML), and experience. You drive measurable improvements in throughput, quality, predictability, and value realization by orchestrating cross-team delivery and scaling ways of working. You connect strategy and objectives and key results (OKRs) to backlogs and capacity, ensuring goals are feasible given constraints, technical debt, and data readiness. You partner across product, engineering, governance, and controls to align roadmaps and remove blockers early. You foster an inclusive, continuous improvement culture that emphasizes transparency, accountability, and end-to-end value.

You’ll energize a portfolio spanning foundational data platforms, domain data products, advanced analytics, and AI services. You enable integrated demos and coordinated release windows that showcase end-to-end outcomes. You design change strategies and communities of practice that sustain new behaviors and ways of working. You shape communications that keep executives and teams aligned on decisions, actions, and timelines. You balance innovation with stability by managing cumulative change load, environment freezes, and readiness gates.

Job responsibilities

• Establish and coach portfolio-consistent Scrum/Kanban practices, definitions of ready/done, and team operating rhythms.
• Lead portfolio cadence including cross-team sprint planning, mid-sprint syncs, sprint reviews, retrospectives, and integrated end-to-end demos
• Drive empirical process control through transparent backlogs, measurable sprint goals, and continuous improvement.
• Define and maintain a single source of truth for portfolio health (predictability, throughput, flow efficiency, WIP, quality, risk) with dashboards and alerting for variance, bottlenecks, and flow interruptions.
• Facilitate regular delivery health reviews with product and engineering leadership, driving data-informed interventions.
• Build and maintain cross-team dependency maps and a living program board; perform critical-path analysis and negotiate resequencing and capacity shifts to protect milestones; track dependency lead time and mean time to unblock.
• Orchestrate rolling wave planning and capacity-based prioritization across platforms, data products, analytics, and AI/ML; manage shared services and enabling teams to optimize system throughput.
• Run proactive risk discovery (risk/controls checkpoints, pre-mortems, flow diagnostics), define escalation paths and decision rights, and ensure corrective actions are owned, time-bound, and measured for effectiveness.
• Connect strategy and objectives and key results (OKRs) to backlog and capacity; make trade-offs transparent (scope, quality, schedule, cost) and align product, platform, and data governance roadmaps.
• Design and execute a staged change plan with stakeholder mapping, enablement, coaching, reinforcement, and communities of practice to sustain ways of working.

• Create an integrated communications calendar and coordinate ceremonies, workshops, and checkpoints; manage cumulative change load and gate new initiatives based on readiness, risk, and absorption capacity.

Required qualifications, capabilities, and skills

• Minimum 10 years in agile product delivery, including 4 years leading cross-portfolio orchestration in data, analytics, or platform environments.
• Demonstrated success running Scrum at scale and implementing portfolio health monitoring, dependency management, and risk escalation.
• Proven ability to translate strategy and objectives and key results (OKRs) into executable, capacity-constrained delivery plans.
• Experience designing and executing enterprise change strategies and integrated communication plans.
• Strong facilitation and negotiation skills across product, engineering, data governance, and risk/compliance partners.
• Expertise in lean portfolio management, modern product practices, DevOps/continuous delivery, and flow metrics.
• Proficiency with delivery tooling for backlogs, dashboards, alerts, and program boards (e.g., Jira, Azure DevOps, or equivalents).
• Ability to perform critical-path analysis, capacity planning, and scenario-based sequencing.
• Track record of driving measurable improvements in throughput, quality, predictability, and value realization.
• Excellent written and verbal communication tailored to executive and technical audiences.

• Bachelor’s degree in a relevant field or equivalent practical experience.

Preferred qualifications, capabilities, and skills

• Advanced degree in engineering, data science, or business.
• Certifications such as Certified Scrum Professional, SAFe/Lean Portfolio Management, or equivalent.
• Experience in data platforms, data products, data governance, data publishing/processing, and applied AI/ML.
• Hands-on experience establishing communities of practice and coaching change agents.
• Familiarity with risk and control frameworks in regulated environments.
• Experience with objectives and key results (OKRs) implementation at scale.
• Demonstrated success orchestrating cross-team integrated demos and end-to-end delivery in complex data ecosystems.

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Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

Equal Opportunity Employer/Disability/Veterans

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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.

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Lead agility strategy across data platforms, products, and AI to boost throughput, quality, predictability, and value.