VP, Data Analytics & Ai at Federal Reserve Bank of New York

Time left to apply: End Date: November 7, 2024 (6 hours left to apply)

Job requisition ID: R-0000022911

Company

Federal Reserve Bank of San Francisco. We are the Federal Reserve Bank of San Francisco—public servants with a mission to advance the nation’s monetary, financial, and payment systems to build a stronger economy for all Americans. We are a community-engaged bank, and are committed to understanding and serving the vibrant, expansive communities of the Twelfth District. That means we seek and appreciate new perspectives. We respect people for what they do and for who they are. We build opportunities to learn and grow. When you join the SF Fed, you become part of a diverse team united in its purpose to promote an economy that works for everyone.

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.

Highlights of Responsibilities

Strategic Leadership & Business Transformation:

1. Develop and communicate a compelling vision and strategy for the Data and Analytics Services, elevating and aligning it with broader Bank and System objectives.

2. 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.

3. 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.

4. 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:

1. 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.

2. Foster a culture of innovation, collaboration, and continuous learning.

Stakeholder Management:

1. Collaborate with C-level executives, business leaders, and cross-functional teams to align extensive data and analytics initiatives with overall business objectives.

2. Be a thought leader and trusted advisor to business units and business partners.

3. Advocate for the strategic importance of data and analytics and its positive impact at an enterprise scale.

4. Influence a shift in thinking, in a matrixed organization, and elevate the conversation around the use and value of data.

Data and AI Enablement:

1. Define and implement strategies to leverage data as a strategic asset, focusing on scalability, efficiency, and business value for a large organization.

2. Oversee the development and deployment of advanced analytics and AI solutions.

Data Governance:

1. Establish and enforce robust data governance practices, ensuring data quality, integrity, and security on a large scale.

2. Collaborate with stakeholders to define and implement data standards, policies, and procedures that align with industry best practices.

Technology Stack and Infrastructure:

1. Evaluate, select, and implement innovative technologies and tools that cater to a large-scale data and analytics organization.

2. Ensure the scalability, security, and efficiency of the technology infrastructure.

Qualifications:

1. 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.

2. A strategic thinker who is also able to be hands-on to drive execution.

3. Prior experience effectively managing, motivating, and developing a strong team in a large, dynamic, and highly matrixed organization.

4. Strong collaboration and relationship-building skills with an ability to partner effectively with others in the pursuit of common goals.

5. Experience leading business and technology transformation, strategic planning, and driving implementation of transformative vision.

6. Strategic leader with hands-on data architecture, solution delivery, and governance experience.

7. In-depth understanding of available Data and Analytics stacks in both Cloud and On-premises environment, and full data lifecycle.

8. Proven experience successfully executing complex projects within large and complex environments.

9. Track record of successful leadership to drive results and proactively manage change in a complex and dynamic organizational, technological, and operating environment.

10. Strong understanding of Generative AI, data management principles, data architecture, and AI technologies, including machine learning, natural language processing, computer vision, and predictive analytics.

11. Strong knowledge of technology stacks covering comprehensive data platforms and analytics platforms.

12. 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.

13. 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

Full Time / Part Time

Full time

Regular / Temporary

Regular

Job Exempt (Yes / No)

Yes

Job Category

Work Shift

First (United States of America)

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.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

Privacy Notice

OUR BANK has one of the most recognizable brands around the world. The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations. The Federal Reserve is charged with the important mission of promoting a strong economy and a stable financial system and fulfills this responsibility by formulating national monetary policy, supervising and regulating banks and bank holding companies, and providing financial services for banks and the U.S. government.

OUR PEOPLE are diverse in background and ideas, which allows for ongoing creativity and innovation. Ultimately, they are the ones who push our high-performance, exchange-driven culture forward.

Why Our People Choose Us:

Our reputation precedes us
There will always be room for personal growth
Our people are first
You’ll find the right balance
Your responsibilities will be meaningful

We hope that you will be our future colleague.