Commercial Real Estate Data Strategy Lead - Executive Director

As a Commercial Real Estate Data Strategy Lead - Executive Director within the Global Banking team, you will be responsible for developing and implementing a comprehensive data strategy and business process integration plan that aligns with our organization's objectives. You will build strong relationships with business executives and support teams to ensure alignment and collaboration, focusing on creating high-quality data solutions that enhance decision-making and operational efficiency for Global Banking employees. You will leverage existing data assets and identify new capabilities to promote innovation and continuous improvement in data products and delivery solutions. Collaboration with senior product, data, technology, and business stakeholders is essential to ensure our data strategy supports the firm's growth and adapts to evolving market conditions.

This role is ideal for a candidate for a passionate data-driven leader skilled in collaborative and bringing innovative solutions to life.

Key responsibilities:

• Develop a comprehensive and user-friendly view of the Commercial Real Estate market and its key drivers.
• Engage with business leadership to prioritize and deliver optimal solutions by utilizing existing data assets and identifying new capabilities, while informing target-state roadmaps.
• Lead the creation and ongoing enhancement of data products and delivery solutions to improve the effectiveness and efficiency of Global Banking employees.
• Collaborate closely with CRE product teams to ensure the data strategy aligns with business objectives.
• Oversee the technical and design aspects of analytical products, dashboards, and other tools on a daily basis.
• Drive initiatives to completion by addressing key issues and providing clear themes and recommendations.

Required qualifications, capabilities and skills:

• 10+ years of CRE industry experience, including deep technical experience with big data platforms and data management organizations.
• Strong design and analytical skills across the AI/Cloud ecosystem (e.g., AWS, Snowflake, Databricks, GPT and Anthropic models)
• Excellent command of the SQL language and strong knowledge of data structures, metadata, knowledge graphs and algorithms,
• Proven experience in managing and developing people, with superior data analysis skills.
• Prior B2B client-facing experience in banking and a passion for data and technology.
• Adaptable team player thriving in dynamic environments, with a passion for Data and AI to create value.
• Exceptional communication, presentation, and leadership skills; adept at engaging stakeholders and working collaboratively in matrixed environments.
• Superior organizational, time management, and multitasking abilities, performing under tight deadlines in fast-paced settings.
• Strong understanding of both back-end and front-end application components.