Strategic Leadership:

• Executive experience leading organization through transformation with solid foundation in both data engineering and science.
• Develop and communicate a compelling vision and strategy for the organization, aligning it with broader business objectives.
• Drive organizational transformation to embrace AI and Gen AI technologies, ensuring scalability to meet the demands of large-scale data services.

• Build and lead a strong team of data scientists, analysts, engineers, and other experts capable of managing extensive data operations.
• Foster a culture of innovation, collaboration, and continuous learning.

• Define and implement strategies to leverage data as a strategic asset, focusing on scalability, efficiency, and business value for a large organization.
• Oversee the development and deployment of advanced analytics and AI solutions.

• Establish and enforce robust data governance practices, ensuring data quality, integrity, and security on a large scale.
• Collaborate with stakeholders to define and implement data standards, policies, and procedures that align with industry best practices.

• Evaluate, select, and implement innovative technologies and tools that cater to a large-scale data and analytics organization.
• Ensure the scalability, security, and efficiency of the technology infrastructure.

• Drive business transformation initiatives to future-proof the organization at an enterprise level, considering the unique challenges and opportunities presented by large-scale data services.
• Collaborate with business units to identify and capitalize on opportunities for leveraging data and analytics for enhanced operational efficiency and strategic decision-making.

• Collaborate with C-level executives, business leaders, and cross-functional teams to align extensive data and analytics initiatives with overall business objectives.
• Act as a thought leader and advocate for the strategic importance of data and analytics on an enterprise scale.

• Bachelor's degree in Engineering, preferably in a field related to computer science, data engineering, or a related field. Graduate degree (Master's or MBA) in Data Science, Business Analytics, or a related field preferable or relevant work experience.
• Proven leadership experience in progressively responsible roles within data and analytics for large organizations.
• Strong understanding of Generative AI, data management principles, data architecture, and AI technologies, including machine learning, natural language processing, computer vision, and predictive analytics.
• Strong knowledge of technology stacks covering comprehensive data platforms and analytics platforms.
• 15+ years of leadership experience with 5+ years in executive role leading large Data and Analytics Service Delivery organization. Dynamic people and business leadership experience.
• Experience leading business and technology transformation, strategic planning, and driving implementation of transformation vision. In depth understanding of available Data and Analytics stacks in both Cloud and On-premise environment. Strategic leader with hands-on data architecture, solution delivery, and governance experience.
• Must be a U.S Citizen or a Green Card holder with intent to become a U.S Citizen

Base Salary Range: Min: $237,800 - Mid: $314,600 - Max: $384,200(Location: San Francisco)

Final salary and offer will be determined by the applicant's background, experience, skills, internal equity, and alignment with geographic and other market data.

We offer a wonderful benefits package including: Medical, Dental, Vision, Pre-tax Flexible Spending Account, Backup Childcare Program, Pre-Tax Day Care Flexible Spending Account, Paid Family Care Leave, Vacation Days, Sick Days, Paid Holidays, Pet Insurance, Matching 401(k), and Retirement/Pension.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. The SF Fed is an Equal Opportunity Employer.

#LI-Hybrid

The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.