Head of Data - Corporate Responsibility

JPMorgan Chase & Co.; Ohio; On-site; USD 180,000 - 280,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Owner Director and Head of Data for Corporate Responsibility to set strategic direction for CR data, govern critical assets, and drive value across analytics, reporting, and responsible AI.

You will partner with business, product, technology, and firmwide data teams to ensure data is trusted, secure, and fit for business operations. You will lead multi-year roadmaps, establish ownership, and mentor teams while delivering measurable improvements in data

Qualifications

• Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, Business, Technology, or a related field, or equivalent professional experience.
• 10 or more years of experience in data management, governance, risk management, analytics, or related discipline, with leadership experience.
• Deep understanding of data management principles, governance frameworks, data lifecycle management, quality, metadata, protection, and use.
• Experience establishing ownership, accountability, and governance for critical data assets in a complex organization.
• Proven ability to define and execute data strategies, maturity assessments, and multiyear roadmaps.
• Proven ability to influence senior stakeholders and drive cross-functional decisions.
• Experience leading large-scale data initiatives and addressing data sourcing, integration, and quality challenges.
• Strong analytical and problem-solving skills with ability to translate data concepts into strategy.
• Excellent written, verbal, and executive presentation skills.
• Experience leading and mentoring direct and matrixed teams.
• Sound judgment and integrity handling sensitive information under deadlines.

Responsibilities

• Set and execute CR's data strategy in alignment with business priorities and risk requirements.
• Provide strategic leadership in developing data solutions for operations, reporting, and analytics.
• Establish ownership and governance for CR's critical data assets.
• Partner with product owners and analytics leads to identify and prioritize data needs.
• Lead data strategy for priority CR initiatives (xCR CRM, Morgan Impact, etc.).
• Identify data to source and integrate into CR platforms for reporting and ML use cases.
• Maintain partnerships across CR, Technology, Controls, Risk, Legal, and firmwide data groups.
• Direct processes to monitor and mitigate data risks across the data lifecycle.
• Prioritize resources to deliver objectives and resolve data issues timely.
• Deliver metrics and reporting on data quality, governance, risks, and progress.
• Lead and mentor direct and matrixed teams with clear priorities.

Skills

Data governance

Data strategy

Leadership

Stakeholder management

Executive communication

Risk management

Cross-functional collaboration

Analytics

Education

Bachelor's degree in Data Science / related field

Advanced degree or professional certification in data management

Job description

As a Data Owner Director and Head of Data for Corporate Responsibility, you will set the strategic direction for how CR data is sourced, governed, integrated, protected, and used. You will oversee data strategy and governance for critical data assets and priority initiatives, including xCR CRM, Morgan Impact, market-based analytics, and other CR data products and platforms. You will partner with business, product, technology, reporting, analytics, risk, controls, and firmwide data teams to define data needs, establish accountability, address data risks, and ensure information is fit for business operations, decision-making, reporting, advanced analytics, and responsible AI. Through leadership of CR's most important data initiatives and strong partnerships across the organization, you will help position data as a trusted strategic asset that supports CR's evolving priorities.

Job Responsibilities

• Set and execute CR's data strategy in alignment with business priorities, firmwide data standards, and applicable risk and control requirements.

• Provide strategic leadership in developing and delivering data solutions that support CR's business operations, strategic objectives, reporting, and advanced analytics.

• Establish clear ownership and accountability for CR's critical data assets, ensuring data is appropriately governed, documented, protected, integrated, and used.

• Partner with product owners, business process owners, reporting teams, and analytics leads to identify, define, and prioritize critical data needs across CR.

• Lead data strategy and governance for priority CR initiatives, including xCR CRM, Morgan Impact, market-based analytics, and other critical data products and platforms.

• Identify and prioritize the data that must be sourced and integrated into CR platforms to support reporting, analytics, machine learning, and responsible AI use cases.

• Establish and maintain collaborative partnerships across CR, Technology, Controls, Risk, Legal, Compliance, and firmwide data organizations to strengthen data understanding, quality, and effective use.

• Direct processes to identify, monitor, elevate, and mitigate data risks throughout the data lifecycle, including data protection, retention, storage, classification, use, and quality.

• Prioritize resources and remediation efforts to deliver strategic objectives and resolve critical data issues in a timely and consistent manner that maintains data consumer trust.

• Deliver metrics and reporting that provide senior leadership with clear visibility into data quality, governance effectiveness, risks, issue remediation, and progress against CR's data strategy.

• Lead and mentor direct and matrixed teams by setting clear priorities, accountability, and execution milestones.

Required Qualifications, Capabilities, and Skills

• Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, Business, Technology, or a related field, or equivalent professional experience in data management, data governance, or a related field.

• 10 or more years of experience in data management, data governance, data risk management, analytics, business transformation, or a related discipline, with a demonstrated leadership track record.

• Deep understanding of data management principles, governance frameworks, operating models, and data lifecycle management, including data quality, metadata, classification, protection, retention, and use.

• Experience establishing ownership, accountability, and governance for critical data assets within a complex, matrixed organization.

• Demonstrated ability to define and execute data strategies, maturity assessments, and multiyear roadmaps aligned with business priorities.

• Proven ability to influence senior stakeholders, build cross-functional partnerships, and drive decisions and outcomes across organizational boundaries.

• Experience leading large-scale data initiatives and addressing complex data sourcing, integration, quality, and management challenges.

• Strong analytical and problem-solving skills, with the ability to translate complex data concepts, risks, and requirements into actionable business strategies.

• Excellent written, verbal, and executive presentation skills, with the ability to communicate effectively with technical and nontechnical audiences.

• Experience leading and mentoring direct and matrixed teams, with strong strategic thinking and decision-making skills.

• Demonstrated sound judgment and integrity when handling sensitive information, balancing competing priorities, and delivering results under tight deadlines.

Preferred Qualifications, Capabilities, and Skills

• Advanced degree or professional certification, such as Certified Information Management Professional, Certified Data Management Professional, or a comparable data management credential.

• Experience supporting enterprise-scale data strategy, governance, operating model, or transformation initiatives within financial services.

• Familiarity with modern data architecture, cloud platforms, data lakes, metadata management tools, enterprise data catalogs, analytics platforms, and data visualization technologies.

• Experience applying advanced analytics, machine learning, Generative AI, agents, or automation to improve data management, governance, reporting, risk management, or business processes.