VP, Data Analytics & AI Information Technology

Overview:This role presents a unique opportunity for a collaborative, strategic leader with expertise in Data, Cloud, Security, and AI to guide a large-scale Data and Analytics Services organization towards a data-driven and AI-enabled future. If you possess the requisite skills, industry expertise, and collaborative leadership experience, we invite you to apply and be a key leader in shaping our transformative journey in data and analytics at the Federal Reserve.The successful candidate will guide the organization through a transformative data experience, ensuring a robust technology stack and industry-leading product delivery. You will have the opportunity to spearhead the Federal Reserve Bank of San Francisco’s journey toward an AI and Gen AI future in partnership with the System Innovation Office, Lines of Business and other System Banks.Responsibilities:Strategic Leadership & Business Transformation:Develop and communicate a compelling vision and strategy for the Data and Analytics Services, elevating and aligning it with broader Bank and System objectives.Roadmap an organizational transformation, focused on the business opportunities and needs of the future, that embraces AI and Gen AI technologies, ensuring scalability to meet the demands of large-scale data services.Drive and lead those 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 other business units to identify and capitalize on opportunities for leveraging data and analytics for enhanced operational efficiency and strategic decision-making.Team Leadership:Continue to build, lead and develop a strong team of data scientists, analysts, engineers, and other experts capable of transforming managing and developing extensive data operations.Foster a culture of innovation, collaboration, and continuous learning.Stakeholder Management:Collaborate with C-level executives, business leaders, and cross-functional teams to align extensive data and analytics initiatives with overall business objectives.Be a thought leader and trusted advisor to business units and business partners.Advocate for the strategic importance of data and analytics and its positive impact at an enterprise scale.Influence a shift in thinking in a matrixed organization, and elevate the conversation around the use and value of data.Data and AI Enablement: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.Data Governance: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.Technology Stack and Infrastructure: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.Qualifications:15+ years of progressively responsible leadership experience with 5+ years in an executive role leading large Data and Analytics Service Delivery organization through a successful transformation.A strategic thinker who is also able to be hands-on to drive execution.Prior experience effectively managing, motivating, and developing a strong team in a large, dynamic, and highly matrixed organization.Strong collaboration and relationship-building skills with an ability to partner effectively with others in the pursuit of common goals.Experience leading business and technology transformation, strategic planning, and driving implementation of transformative vision.Strategic leader with hands-on data architecture, solution delivery, and governance experience.In-depth understanding of available Data and Analytics stacks in both Cloud and On-premises environment, and full data lifecycle.Proven experience successfully executing complex projects within large and complex environments.Track record of successful leadership to drive results and proactively manage change in a complex and dynamic organizational, technological, and operating environment.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.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.Must be a U.S. Citizen or a Green Card holder with intent to become a U.S. Citizen.Location:San Francisco, CAHybrid: 50% of time in office / 50% work from homeRelocation assistance provided if needed.Compensation & Benefits:Base Salary Range: Min: $237,800 - Mid: $314,600 - Max: $384,200Final 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.

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