Depository Trust Clearing Corporation - Jersey City, NJ

posted about 2 months ago

Full-time - Senior
Jersey City, NJ
Credit Intermediation and Related Activities

About the position

In your role as a Director of Data Architecture at DTCC, you will play a major role to chart the course for our data strategy, tightly integrating it with our overarching business vision to drive innovation and growth. You will craft and steer a comprehensive vision for enterprise data solutions that harmonize with our corporate ambitions and pave the path for ground-breaking business outcomes. Your responsibilities will include owning the development of standard processes for architecture, engineering, and analytics development, while staying at the forefront of industry trends and continuously refining our processes to ensure the highest-quality, innovative, and efficient solutions. You will define, develop, and enable enterprise data solutions, leading the architecture, strategic framework design, development, and implementation of data systems, ensuring they are robust, scalable, and secure. Additionally, you will lead the design, development, and evolution of an enterprise data architecture that supports scalability, agility, and innovation of data solutions and architecture in cloud platforms, managing the process effectively to ensure data security and compliance. Cultivating deep collaborative ties with business unit leaders and stakeholders will be essential, as you examine their data needs to ensure the data strategy is laser-focused on organizational objectives. As a leader, you will elevate and guide our data engineering and product teams on standard methodologies to cultivate a culture that prizes forward-thinking, agility, and continuous innovation. You will lay the foundation of a robust data governance regime prioritizing data integrity, ethical use, and compliance as pillars of our data-centric approach. Furthermore, you will ensure data systems and platforms are designed and implemented to support next-generation data and analytics capabilities, cultivating strategic partnerships with technology vendors, service providers, and industry leaders to keep tabs on emerging trends and opportunities in data engineering. Acting as a critical liaison between technical and non-technical teams, you will simplify sophisticated concepts and encourage data-driven decision-making, serving as the company's data ambassador and effectively communicating the strategic value of data engineering and architecture initiatives to stakeholders, including at a board level.

Responsibilities

  • Craft and steer a comprehensive vision for enterprise data solutions that harmonize with corporate ambitions.
  • Own the development of standard processes for architecture, engineering, and analytics development.
  • Stay at the forefront of industry trends and continuously refine processes to ensure high-quality, innovative, and efficient solutions.
  • Define, develop, and enable enterprise data solutions.
  • Lead the architecture, strategic framework design, development, and implementation of data systems, ensuring robustness, scalability, and security.
  • Lead the design, development, and evolution of an enterprise data architecture that supports scalability, agility, and innovation in cloud platforms.
  • Cultivate collaborative ties with business unit leaders and stakeholders to examine their data needs.
  • Elevate and guide data engineering and product teams on standard methodologies to foster a culture of innovation.
  • Lay the foundation of a robust data governance regime prioritizing data integrity, ethical use, and compliance.
  • Ensure data systems and platforms support next-generation data and analytics capabilities.
  • Cultivate strategic partnerships with technology vendors and industry leaders to monitor emerging trends.
  • Act as a liaison between technical and non-technical teams, simplifying complex concepts for data-driven decision-making.
  • Serve as the company's data ambassador, communicating the strategic value of data initiatives to stakeholders.

Requirements

  • Bachelor's degree in Computer Science or Information Systems.
  • Minimum of 15+ years of experience with information technology programs and services, with expertise in enterprise data management and related technologies.
  • Thorough knowledge of Erwin Data Modeler (V9 or higher) or a comparable CASE tool.
  • Thorough knowledge of data warehousing concepts and ability to convert a physical design into a dimensional design.
  • Knowledge of Agile development methodology and concepts.
  • Experience working as a member of and leading distributed data architecture teams.
  • Understanding of information systems and data life-cycle management standard processes and methodologies.
  • Thorough hands-on SQL experience.
  • Solid understanding of cloud technology and tools as it relates to data architecture.
  • Experience with two or more of the following DBMS technologies: Oracle, PostgreSQL, Snowflake, Microsoft SQL Server.
  • Effective communication skills and customer relationship management skills.
  • Expertise in Microsoft Office suite of products.
  • Hands-on experience with ETL tools (Informatica, DataStage, Talend, etc.).
  • Demonstrable experience with Business Intelligence (BI) tools (e.g., OBIEE, MicroStrategy, Tableau, Power BI, QuickSight, Sigma, etc.).
  • Knowledge of and prior experience with metadata management tools (Collibra, etc.).

Nice-to-haves

  • Experience with any commercially available industry data model (e.g., IBM's Financial Services Data Model).
  • Good understanding of the concepts in the financial industry, especially in trade, clearing, and settlement.
  • Experience with data cataloging, data discovery, data observability, and/or data quality tools.

Benefits

  • Competitive compensation, including base pay and annual incentive.
  • Comprehensive health and life insurance and well-being benefits, based on location.
  • Pension / Retirement benefits.
  • Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support physical, financial, and emotional well-being.
  • Flexible/hybrid model of 3 days onsite and 2 days remote.
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