Senior Managing Director - Head of Enterprise Data
Nuveen, Dallas, TX, United States
This Senior Managing Director (SMD), Head of Data is a foundational enterprise leadership role within TIAA's Data Office, reporting directly to the Chief Data and AI Officer. This leader will own the vision, strategy, and execution of TIAA's enterprise data function spanning data product development, architecture and governance, business partnership, and data infrastructure. This is not a project management or reporting function. The SMD sits at the intersection of Data Engineering, Enterprise Data Architecture, Enterprise Data Governance, and business domain expertise, and is accountable for the end-to-end lifecycle of Data Products from intake and design through delivery, certification, and ongoing operations.* Lead and develop a high-performing data organization with
both internal staff and vendor partners to ensure consistent delivery, operational accountability, and continuous capability growth across all data disciplines.* Invest in the growth and development of senior leaders and their teams, with a strong emphasis on building technical credibility, enterprise thinking, and business partnership skills that elevate the entire data organization* Foster a culture of accountability, continuous learning, and data-driven decision-making setting the standard for how the Data Office operates and is perceived across TIAA* 10+ years of experience in data, analytics, or data engineering roles, including senior leadership experience across analytics, analytics engineering, data engineering, and/or data science* Minimum 7 years in leadership roles managing distributed data teams and/or complex data programs* Proven track record building and leading data teams that drive meaningful business outcomes* Demonstrated success building enterprise-scale data products that are reusable across functions, governed by design, and trusted by the business* Experience managing data programs in highly regulated industries, particularly financial services, insurance, or fintech, with stringent data quality, compliance, and availability requirements* Demonstrated success leading data strategy during major platform migrations, data modernization initiatives, or enterprise data transformation programs* Bachelor's degree in Computer Science, Engineering, Information Systems, Statistics, or a related field preferred* Strong technical depth in data engineering, analytics architecture, and data modeling with the credibility to engage meaningfully with engineering teams* Deep expertise in data lifecycle management from ingestion and transformation through consumption and certification* Experience building and operating a modern data stack (e.g., Snowflake) with a focus on scalability, data modeling, and metrics design* Proficiency with data governance platforms including catalog, lineage, quality, and certification tooling* Familiarity with cloud data operations (AWS, Azure, GCP) and hybrid cloud data architectural models* Working knowledge of CI/CD pipelines, automation frameworks, and DataOps practices that support reliable, scalable data product delivery* Understanding of enterprise security, data privacy, and regulatory requirements affecting financial services data environments (SOC2, SOX, SEC regulations)* Exceptional ability to translate business needs into scalable data product designs with a track record of turning ambiguous business problems into clear analytical approaches and outcomes* Strong executive communication skills translating technical data concepts into business impact and risk language* Strategic thinking balancing immediate data quality and operational stability needs with the long-term imperative to build durable, enterprise-grade data capabilities* Demonstrated ability to build trust and credibility with business partners, engineering teams, and executive stakeholders* Talent development mindset committed to coaching senior leaders and their teams through technical and cultural transformations* Comfortable operating in ambiguity, driving clarity, structure, and execution discipline across complex, cross-functional data programs* Strong partnership mindset with platform engineering, governance, business domain, and technology leaders #J-18808-Ljbffr
both internal staff and vendor partners to ensure consistent delivery, operational accountability, and continuous capability growth across all data disciplines.* Invest in the growth and development of senior leaders and their teams, with a strong emphasis on building technical credibility, enterprise thinking, and business partnership skills that elevate the entire data organization* Foster a culture of accountability, continuous learning, and data-driven decision-making setting the standard for how the Data Office operates and is perceived across TIAA* 10+ years of experience in data, analytics, or data engineering roles, including senior leadership experience across analytics, analytics engineering, data engineering, and/or data science* Minimum 7 years in leadership roles managing distributed data teams and/or complex data programs* Proven track record building and leading data teams that drive meaningful business outcomes* Demonstrated success building enterprise-scale data products that are reusable across functions, governed by design, and trusted by the business* Experience managing data programs in highly regulated industries, particularly financial services, insurance, or fintech, with stringent data quality, compliance, and availability requirements* Demonstrated success leading data strategy during major platform migrations, data modernization initiatives, or enterprise data transformation programs* Bachelor's degree in Computer Science, Engineering, Information Systems, Statistics, or a related field preferred* Strong technical depth in data engineering, analytics architecture, and data modeling with the credibility to engage meaningfully with engineering teams* Deep expertise in data lifecycle management from ingestion and transformation through consumption and certification* Experience building and operating a modern data stack (e.g., Snowflake) with a focus on scalability, data modeling, and metrics design* Proficiency with data governance platforms including catalog, lineage, quality, and certification tooling* Familiarity with cloud data operations (AWS, Azure, GCP) and hybrid cloud data architectural models* Working knowledge of CI/CD pipelines, automation frameworks, and DataOps practices that support reliable, scalable data product delivery* Understanding of enterprise security, data privacy, and regulatory requirements affecting financial services data environments (SOC2, SOX, SEC regulations)* Exceptional ability to translate business needs into scalable data product designs with a track record of turning ambiguous business problems into clear analytical approaches and outcomes* Strong executive communication skills translating technical data concepts into business impact and risk language* Strategic thinking balancing immediate data quality and operational stability needs with the long-term imperative to build durable, enterprise-grade data capabilities* Demonstrated ability to build trust and credibility with business partners, engineering teams, and executive stakeholders* Talent development mindset committed to coaching senior leaders and their teams through technical and cultural transformations* Comfortable operating in ambiguity, driving clarity, structure, and execution discipline across complex, cross-functional data programs* Strong partnership mindset with platform engineering, governance, business domain, and technology leaders #J-18808-Ljbffr