Wealth Technology - Data Application Development Sr Group Manager, Director

About Citi:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments, and accessing the capital markets on behalf of our clients.

We are seeking a visionary and strategic leader to join our Wealth Management Technology team as a Director of Data & Analytics. This executive role is pivotal in defining and owning the data strategy and analytical capabilities that will drive our business forward. The ideal candidate is a distinguished leader with an expert-level understanding of the wealth management domain, complemented by a history of leading the technological evolution of data ecosystems at major financial institutions.

• Strategic Leadership & Vision:
  Define and own the long-term strategic roadmap for wealth management data and analytics, ensuring alignment with overarching business goals and emerging technology trends.
• Team Leadership & Development:
  Lead, mentor, and cultivate a high-performing team of data architects, engineers, and analysts. Foster a culture of excellence, innovation, and urgency.
• Data Architecture & Modeling:
  Set the standards and preside over the creation of expert-level conceptual, logical, and physical data models for the entire wealth management domain.
• Data Ecosystem Evolution:
  Drive the strategy and execution for modernizing our analytical data and data warehouse technologies, including the adoption and integration of cloud-based providers (e.g., AWS, Snowflake, Google Cloud Platform).
• Framework & Governance:
  Own the development and implementation of enterprise-grade, scalable, and secure frameworks for data ingestion, curation, quality control, and distribution.
• System Integration:
  Own the architectural vision for integrating core operational systems with our analytical platforms to establish a single, trusted source of truth and enable sophisticated analytics.
• Technology & Innovation:
  Champion and direct the adoption of modern data wrangling (e.g., Dataiku) and visualization (e.g., Tableau) tools to create a best-in-class analytics function.
• Executive Stakeholder Management:
  Build and maintain strong relationships with senior business and technology leaders. Influence and align stakeholders on the data strategy and its value proposition.
• Execution & Delivery:
  Instill a strong sense of urgency within the team to drive complex projects from conception to completion, ensuring the timely delivery of high-impact data solutions.

• Experience:
  
  20+ years of progressive experience in technology leadership roles within major financial services firms, with deep, pertinent experience in wealth management.
• Leadership: 10+ years of proven experience in a formal leadership capacity, with a strong track record of building, managing, and mentoring high-performing data teams.
• Data Warehousing & Cloud:
  An extensive track record of leading analytical data platforms and data warehouses through their technological evolution, from on-premise to modern, cloud-native solutions.
• Data Modeling Expertise:
  Renowned expertise in creating, managing, and evangelizing complex data models specifically for the wealth management industry.
• Data Lifecycle Management:
  Demonstrable experience defining strategy and overseeing the creation of frameworks for the end-to-end data lifecycle.
• Technical Acumen:
  • Strategic understanding and experience with data wrangling and preparation tools (e.g., Dataiku, Alteryx, or similar).
  • Deep expertise in leveraging data visualization tools (e.g., Tableau, Power BI) to drive business strategy.
  • Strong foundation in SQL, diverse database technologies, and data architecture principles.
  • Familiarity with programming languages such as Python for data manipulation and automation.
• Mindset: A dynamic and influential leader with a…