Vice President, Head of Corporate Services Data Strategy

Vice President of Data Strategy for Corporate Services Technology (CST)

The Vice President of Data Strategy for Corporate Services Technology (CST) will lead the review, definition and execution of a comprehensive actionable data strategy across all Corporate Services functions, including Finance, HR, Compliance, Risk, Global Security, Procurement, Vendor Management, Legal, Real Estate, Communications, and Corporate Affairs.

This role will partner with the Enterprise Data and AI (EDAI) organization to align CST's data architecture and analytics initiatives with firm-wide platforms and standards. The ability to navigate the corporate services domains, identify cross-cutting opportunities and communicate the data strategy in business language is critical to building relationships with business partners, aligning with key business priorities and gaining support for execution of the data strategy.

The Value You Deliver

• Define and drive a unified data vision across Corporate Services.
• Establish and lead a robust data governance program and operating model.
• Lead and develop a core team of data strategy and governance professionals.
• Lead a cross-cutting data horizontal focused on data excellence.
• Oversee key data initiatives and projects, ensuring effective delivery.
• Define KPIs and success metrics to measure the impact of data initiatives.
• Reinforce the foundations to enable advanced analytics and AI/ML use-cases in partnership with EDAI.
• Collaborate across the business domains to drive data interoperability and sharing.
• Engage stakeholders to drive a culture of data-driven decision making.

The Expertise We're Looking For

• 15 plus years of experience in data-related roles, with 8–10 plus years in leadership positions.
• Bachelor's degree in Computer Science, Data Management, or related field; Master's degree preferred.
• Expertise in data governance, data management, and data architecture.
• Familiarity with modern data platforms, cloud data lakes, and enterprise data tools, including Snowflake for analytics and Kafka for streaming.
• Ideally have domain knowledge in corporate functions such as Finance, HR, Risk/Compliance.
• Fluent communications track record across a range of technology and business stakeholders.
• Proven ability to influence and execute across organizational boundaries.
• Strategic mindset with strong analytical and problem-solving skills.
• Track record of execution and delivering measurable business value.

The Skills You Bring

• Leadership and Cross-Functional Influence: Able to inspire and guide teams toward a data-driven culture, working effectively across multiple corporate functions and business units.
• Data Governance and Policy: Strong knowledge of data governance principles, establishing policies and frameworks that ensure data quality, integrity, security, and regulatory compliance.
• Execution and Change Management: Proven ability to drive initiatives from concept to implemented solutions, leading change and building buy-in from technology and business stakeholders.
• Strategic and Analytical Thinking: Ability to craft and articulate long-term data strategies grounded in business outcomes.
• Analytics and AI Expertise: Expertise in identifying, enabling, and driving analytics and AI/ML use cases, partnering with data scientists and engineers to leverage Snowflake and other platforms for analytics.
• Modern Data Platforms and Engineering: Hands-on familiarity with modern data architectures, including cloud data lakes, data warehouses, streaming technologies (Kafka), and data engineering patterns.
• Talent Development: Demonstrated ability to build and mentor a small, highly skilled team and engage a broader network of data champions across the organization.
• Corporate Domain Knowledge: Understanding of core corporate functions (HR, Finance, Risk/Compliance, Procurement, Legal, etc.) and ability to align data strategy with business priorities
• People Management: Strong people management and career development skills.

Category: Information Technology

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