The Head of Data Architecture is a leadership position responsible for defining and overseeing the data architectural strategy within the Enterprise Technology organization. This role involves managing data architecture teams, driving strategic initiatives, and ensuring alignment with business goals. The ideal candidate will have a strong understanding of industry trends and exceptional leadership skills. This position significantly impacts the organization's strategic direction and operational excellence.

• 15+ years of relevant experience.
• In-depth understanding of how data architecture contributes to achieving overall functional objectives.
• A strong understanding of the industry and direct competitors' data products and services.
• Thorough understanding of the strategic direction of the data architecture function within the relevant part of the business.
• Solid conceptual and practical grounding in data architecture principles and methodologies.
• Excellent communication skills, with proven ability to negotiate internally at senior levels.
• Demonstrated ability to manage and lead teams, including responsibilities for performance, budget, and planning.
• Self-starter with ability to take the initiative and master new tasks quickly.
• Bachelor’s/University degree or equivalent experience, potentially a Master's degree and managerial experience.

• Lead and manage data architecture teams, fostering a high-performance culture.
• Formulate and execute the data architecture functional strategy.
• Oversee strategy and planning for the data architecture domain.
• Provide significant contributions to the future strategic direction of data architecture.
• Exercise full management responsibility for teams, including performance evaluations and budget approvals.
• Engage in and lead diverse, cross-disciplinary data initiatives.
• Drive innovation at the business level through data architecture.
• Promote transparency and supportive leadership within the team.
• Challenge existing data architecture standards and methodologies.
• Strive for excellence in client data solutions and operational efficiency.
• Foster collaboration to deliver cohesive data solutions across the organization.
• Invest in the growth and development of data professionals from all backgrounds.

• Citi offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.