Join a role that's central to our data strategy, offering a unique opportunity to shape the firm's data risk strategy and enhance industry compliance.

As a Data Strategy Risk & Controls Director in the Global Technology Chief Data & Analytics Office, you will play a pivotal role in shaping and implementing the firm's Data and AI risk management strategy. Leveraging your advanced knowledge and expertise blending data-risk and technology-risk disciplines, you will identify, oversee, and mitigate compliance and operational risks in line with the firm's standards. You will collaborate with various stakeholders, including Product Owners, Business Control Managers, and regulators, to develop and maintain a comprehensive view of the Data and AI governance risk posture and its impact on the business. Your ability to make calculated decisions, manage large teams, and drive strategic projects will be crucial in ensuring the firm's adherence to regulatory obligations and industry best practices. Your work will contribute to the long-term success and resilience of the organization in an ever-evolving technology landscape.

Job responsibilities

• Develop and implement Global Technology data governance risk management strategies, policies, and processes to define data ownership and accountability across Global Technology.
• Identify, assess, and mitigate risks, and drive strategic projects and initiatives to enhance the firm’s data governance risk management capabilities, in line with industry best practices and the firm’s standards and regulatory requirements.
• Escalate emerging and upstream data and technology risks for Global Technology through execution of the Firm’s management framework tools, including risk event management, reporting, and action plan tracking, and provide expert counsel to stakeholders and constituents regarding their data governance, data handling, and security obligations, facilitating acceptable outcomes
• Establish and maintain strong relationships with internal and external stakeholders, including key cross-functional team leads, control managers, and data strategy leads, to ensure compliance with legal, regulatory, and industry standards, and to drive data governance outcomes across Global Technology Data Owners (e.g., data quality, metadata management, lineage, and appropriate use controls) across the data governance lifecycle.
• Manage reporting and governance of overall data governance controls, policies, issue management, and measurements, etc., providing insight to senior leaders into effectiveness of the Global Technology data governance operating model, key data controls, and data risk indicators/metrics, and inform governance work.

Required qualifications, capabilities, and skills

• 7+ years of experience or equivalent expertise in data governance, technology risk management, information security, or a related field, with a focus on managing risk identification, assessment, and mitigation
• Demonstrated expertise in risk management frameworks, industry standards, and regulatory requirements relevant to the financial industry
• Proven ability to lead teams, manage cross-functional projects, influence executive-level strategic decision-making, and effectively translate data governance, technology, and control insights to business strategy in communications with senior executives
• Advanced knowledge and experience leading data governance and data security, risk assessment & reporting, and control evaluation, design, and governance, with a track record of implementing effective risk mitigation strategies

Preferred qualifications, capabilities, and skills

• Experience operating as a liaison across large, matrixed organizations to align product, data, risk, and governance priorities
• Background in establishing decision forums, executive readouts, and operating rhythms that drive clarity and accountability
• Experience building and sustaining senior leader communities of practice (e.g., Data Owner/Steward communities), with structured engagement plans and adoption metrics
• Familiarity with data and analytics platforms, operating models, and delivery practices (e.g., agile/lean) in large-scale environments
• Experience with AI/data initiative reporting, KPI/KRI design, and insights that inform strategic decisions
• Exposure to governance and control frameworks relevant to data and analytics delivery (e.g., issue management, operational resilience, audit readiness)