Data Architecture Group Manager, Senior Vice President

The Architecture Group Manager is accountable for management of complex/critical/large professional disciplinary areas. Leads and directs a team of professionals. Requires a comprehensive understanding of multiple areas within a function and how they interact in order to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Strong commercial awareness is a necessity. Generally accountable for delivery of a full range of services to one or more businesses/ geographic regions.

Excellent communication skills required in order to negotiate internally, often at a senior level. Some external communication may be necessary. Accountable for the end results of an area. Exercises control over resources, policy formulation and planning. Primarily affects a sub-function. Involved in short- to medium-term planning of actions and resources for own area. Full management responsibility of a team or multiple teams, including management of people, budget and planning, to include performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval.

Responsibilities:

• Strategic Leadership:
  • Stay abreast of emerging trends in enterprise data architecture and data engineering.
  • Identify opportunities to leverage these technologies to address business challenges within the banking industry.
  • Contribute to the development and execution of Citigroup's overall data strategy.
• Data Architecture and Engineering:
  • Design and implement state-of-the-art data flows, including cloud migration strategies, big data deployment plans, integrations, and supporting infrastructure.
  • Analyze and optimize data storage, governance, and organizational needs across various business units.
  • Develop and maintain a robust and scalable data architecture that supports Citigroup's current and future needs.
• Technical Expertise
  • Strong experience defining and executing cloud-first data architecture strategies across public and private cloud environments.
  • Hands-on expertise with modern data platforms (data warehouses, lakes, lakehouse architectures) and familiarity with data fabric or data mesh patterns.
  • Proven experience in API-driven data architecture and governance, including standards, lifecycle management, security, and reusable data services.
  • Working knowledge of AI- and analytics-ready data architectures, enabling ML, advanced analytics, and real-time data use cases.
  • Experience with distributed data processing technologies such as Spark, Presto/Trino, and Hadoop ecosystems.
• Team Management and
  
  Collaboration:
  
  
  • Effectively lead and manage a geographically dispersed team of data architects and engineers.
  • Collaborate with senior management, business stakeholders, and technical teams to gather requirements, present solutions, and drive consensus.
  • Foster a culture of innovation, collaboration, and continuous improvement within the team.
• Communication and Influence:
  • Possess exceptional communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Effectively communicate and present design reports to senior management and C-level executives.
  • Influence decision-making and drive alignment across different stakeholders through strong diplomacy and negotiation skills.
• Risk Management and Compliance:
  • Demonstrate a strong understanding of risk management principles and ensure compliance with relevant laws, regulations, and internal policies.
  • Proactively identify and mitigate potential risks associated with data architecture and management.

Qualifications:

• A minimum of 15 years of experience in data architecture, data engineering, or a related field.
• Prior experience as a Data Engineer, Data Manager, or Data Scientist is highly preferred.
• Strong understanding of data governance policies and procedures.
• Proven ability to manage complex projects and deliver results in a fast-paced environment.

Skills:

• Strong communication, diplomacy, and stakeholder management skills.
• Excellent visual presentation and articulation skills.
• Deep understanding of data warehousing, data lakes, and data lakehouse architectures.
• Experience…