Join the Global Technology Chief Data & Analytics Office (GT CDAO) responsible for advancing the firm's data strategy across Global Technology and ensuring data is trusted, well-managed, appropriately governed, and positioned to support analytics, artificial intelligence, and business innovation.
As a Data Owner Lead, within the GT CDAO Team, you will partner with stakeholders across Technology, Risk, Controls, and CDAO to support effective data ownership through governance, operating model development and execution, maturity assessments, roadmap development, and performance reporting. This role is responsible for helping organizations assess current-state capabilities, identify opportunities for improvement, and drive measurable progress toward target-state data management outcomes.
Job Responsibilities:
- Serve as the primary advisor for an aligned Technology Sub-LOB, providing strategic guidance and support to Data Owners and senior leadership.
- Support the execution of data governance, risk management, compliance, and data management responsibilities through established frameworks, processes, tooling, and reporting.
- Lead data management maturity assessments and partner with stakeholders to develop, execute, and monitor roadmaps that advance organizational capabilities and support business objectives.
- Drive governance and operating model effectiveness by establishing clear roles, responsibilities, accountability, and engagement models across Data Owners and key supporting partners.
- Deliver meaningful metrics, reporting, and insights that provide leadership with visibility into progress, risks, opportunities, and overall data management effectiveness.
- Identify opportunities to leverage AI, Generative AI, and automation capabilities to improve the efficiency, scalability, and effectiveness of data management and governance practices.
- Contribute to the continuous evolution of the GT CDAO through the enhancement of tools, processes, best practices, and service offerings.
Required Qualifications:
- Bachelor's degree or equivalent experience in Business, Technology, Data Management, Information Systems, or a related field.
- Experience in data governance, data management, risk management, business transformation, consulting, program management, or related disciplines.
- Strong understanding of data governance, operating models, data risk management, data product, data quality, metadata management, and regulatory expectations.
- Demonstrated ability to influence senior stakeholders and drive outcomes across complex, matrixed organizations.
- Experience leading strategic initiatives, organizational change efforts, or capability improvement programs and strong analytical, communication, and executive presentation skills with the ability to translate complex concepts into actionable business outcomes.
- Demonstrated ability to use technology tools to drive governance and operational outcomes, including advanced Excel, Visio, Alteryx, Power BI, and workflow management platforms. Experience developing dashboards, process documentation, metrics reporting, and executive-level presentations.
-
Experience conducting maturity assessments and developing strategic roadmaps to improve organizational capabilities.
Preferred Qualifications:
- Experience supporting enterprise-scale data strategy, governance, operating model, or transformation initiatives.
- Knowledge of financial services regulatory, risk management, and control frameworks.
- Experience leveraging AI, Generative AI, large language models (LLMs), agents, or automation technologies to improve and automate governance, reporting, risk management, or data management processes.
- Familiarity with modern data governance, data architecture, data lake, metadata management, and data catalog platforms.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Similar Jobs
.jpeg)
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
