Head of Technology Data Management

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $200,000 - $280,000 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Technology Solutions Job Description: The Head of Technology Data Management is responsible for establishing and leading the enterprise capability for managing, governing, and operationalizing technology reference data across infrastructure, cyber, cloud, AI, and enterprise technology domains. The role will build and operate a Databricks-based data fabric that transforms fragmented technology data from multiple systems of record into a trusted, authoritative, and consumable enterprise asset. This leader will define and implement data governance, taxonomies, common data models, metadata standards, and data products that enable enterprise-wide reporting, analytics, risk management, FinOps, operational management, and executive decision‑making. The role serves as the central authority for technology reference data, ensuring data is accurate, governed, discoverable, and accessible through modern consumption channels including APIs, Power BI, and enterprise reporting platforms. Key Accountabilities Enterprise Technology Data Strategy Define and lead the enterprise strategy, operating model, and roadmap for technology reference data. Establish a scalable technology data fabric leveraging Databricks as the enterprise platform for technology data integration and consumption. Create a long‑term vision for trusted technology data that supports enterprise governance, reporting, analytics, operational management, and risk oversight. Drive enterprise adoption of common data standards, governance practices, and technology data products. Data Governance & Quality Management Establish governance frameworks to ensure technology data is accurate, complete, authoritative, compliant, and fit for purpose. Define data ownership, stewardship, accountability, and quality controls across technology domains. Implement controls, monitoring, and remediation processes to improve ongoing data quality. Ensure data management practices align with regulatory, audit, risk, security, and compliance requirements. Metadata, Data Dictionary & Data Marketplace Own the enterprise technology data dictionary and business glossary. Establish and maintain metadata standards, data lineage, and data cataloguing capabilities. Create a technology data marketplace that enables stakeholders to discover, understand, and consume enterprise data assets. Drive consistent interpretation of technology data across the organization. Common Taxonomy & Data Modeling Define and maintain a common technology taxonomy spanning infrastructure, cyber, cloud, AI, applications, services, products, assets, risks, and capabilities. Establish canonical data models and enterprise data relationships across technology domains. Ensure technology data is standardized across systems and reporting platforms. Drive consistency in definitions, classifications, hierarchies, and business rules. Data Products & Information Services Define and govern enterprise technology data products aligned to business and operational use cases. Translate complex technical data into business‑consumable products that support decision‑making. Establish standards for reusable data assets, semantic layers, APIs, and reporting services. Prioritize data products based on business value, risk reduction, and strategic objectives. Data Engineering & Platform Enablement Lead onboarding of technology systems of record into Databricks through APIs, event‑based integrations, streaming capabilities, and zero‑copy architectures. Establish enterprise standards for data integration, ingestion, transformation, and observability. Ensure scalable, resilient, and secure data pipelines that support enterprise consumption. Partner with engineering teams to optimize platform performance and data delivery capabilities. Reporting, Analytics & Metrics Establish enterprise reporting and analytics capabilities for technology management and governance. Define KPI frameworks, measurement standards, and reporting methodologies. Deliver trusted dashboards, scorecards, and executive reporting through Power BI and enterprise reporting platforms. Support stakeholders in measuring operational performance, technology health, risk exposure, and strategic outcomes. User Experience, Report Design & Adoption Ensure dashboards and data products are intuitive, actionable, and aligned to stakeholder needs. Drive persona‑based reporting strategies for executives, risk teams, infrastructure teams, cyber teams, engineers, and technology leaders. Establish enterprise visualization and reporting standards. Measure dashboard adoption, effectiveness, and business value realization. Stakeholder Management & Leadership Build strong partnerships across Infrastructure, Cybersecurity, Enterprise Architecture, Finance, Risk, Data, Audit, and Engineering teams. Influence senior executives and stakeholders on enterprise data priorities and standards. Lead cross‑functional initiatives that require coordination across business and technology domains. Champion a culture of data‑driven decision‑making and accountability. Education & Experience Education Bachelor's Degree in Computer Science, Engineering, Information Technology, Data Management, Information Systems, or a related discipline. Master's Degree preferred (MBA, Data Science, Information Management, or Enterprise Architecture). Industry certifications such as Databricks, TOGAF, DAMA CDMP, ITIL, Cloud Provider Certifications (Azure, AWS, GCP) are preferred. Experience 12+ years of progressive experience in enterprise data management, data architecture, analytics, data governance, or technology strategy. 7+ years in a senior leadership role managing large‑scale data, technology, or transformation programs. Proven experience building enterprise data lakes, data fabrics, or data platforms using Databricks or equivalent technology. Deep expertise in data governance, metadata management, taxonomy development, and common data model design. Experience delivering enterprise reporting and analytics solutions using Power BI or similar platforms. Experience integrating complex technology data from multiple systems of record using APIs, event‑driven architectures, and modern data integration patterns. Strong understanding of infrastructure, cybersecurity, cloud, AI, and enterprise technology environments. Experience operating in highly regulated industries and supporting audit, regulatory, and risk management requirements. Demonstrated success influencing senior executives and leading cross‑functional transformation initiatives. Physical Requirements: Never: 0%; Occasional: 1‑33%; Frequent: 34‑66%; Continuous: 67‑100% Domestic Travel – Occasional International Travel – Occasional Performing sedentary work – Continuous Performing multiple tasks – Continuous Operating standard office equipment – Continuous Responding quickly to sounds – Occasional Sitting – Continuous Standing – Occasional Walking – Occasional Moving safely in confined spaces – Occasional Lifting/Carrying (under 25 lbs.) – Occasional Lifting/Carrying (over 25 lbs.) – Never Squatting – Occasional Bending – Occasional Kneeling – Never Crawling – Never Climbing – Never Reaching overhead – Never Reaching forward – Occasional Pushing – Never Pulling – Never Twisting – Never Concentrating for long periods of time – Continuous Applying common sense to deal with problems involving standardized situations – Continuous Reading, writing and comprehending instructions – Continuous Adding, subtracting, multiplying and dividing – Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well‑being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process. #J-18808-Ljbffr