Hitec - New York, NY

posted about 1 month ago

Full-time - Senior
New York, NY
Merchant Wholesalers, Durable Goods

About the position

The Finance Data Architecture Senior Group Manager is responsible for managing multiple teams and executing functional strategies within the finance sector of Citigroup. This role requires a deep understanding of data architecture principles and frameworks, as well as the ability to lead the development of enterprise data solutions. The manager will oversee the integration of financial data sources, ensuring data consistency and quality while enabling advanced analytics and reporting capabilities. This position also involves mentoring data analysts and business intelligence teams, as well as ensuring compliance with applicable laws and regulations.

Responsibilities

  • Lead the development of the information architecture principles and framework for Citi's Enterprise.
  • Create and maintain formal enterprise information management requirements including business architecture models and data flows.
  • Develop high-level business architecture to enhance solution designs and data quality.
  • Draft detailed business requirements documents reflecting data needs for key initiatives.
  • Collaborate with business SMEs to understand critical data needs and impacts of data quality issues.
  • Identify patterns of data needs across Finance business requirements and address them with effective data architecture.
  • Oversee integration of financial data sources, ensuring seamless data flow and consistency.
  • Implement ETL processes for data extraction, transformation, and loading.
  • Develop and maintain data warehouse and lakes to enable advanced analytics and reporting.
  • Mentor and build data analysts and business intelligence teams for insightful reporting and dashboards.
  • Assess risk in business decisions, ensuring compliance and ethical standards are maintained.

Requirements

  • 15+ years of experience in Banking and Financial Services.
  • 5+ years in developing Enterprise Data Solutions in a financial services environment.
  • Proficiency in data modeling and database design (SQL and NoSQL).
  • Experience with big data technologies and cloud platforms.
  • Familiarity with data analysis, visualization tools, and programming languages such as SQL, Python, R, Tableau.
  • Experience in creating Information Technology Ontology and metadata management frameworks.
  • Proven leadership and mentoring skills for data professionals.
  • Outstanding executive communication skills.
  • Ability to lead projects with multiple counterparts across the organization.

Nice-to-haves

  • Master's degree or MBA is preferred.

Benefits

  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid time off packages including vacation, sick leave, and paid holidays
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