{"id":4201147,"url":"https://alion.io/job/depository-trust-clearing-corporation-data-modeling-director","title":"Data Modeling Director","company":{"id":1759477,"name":"Depository Trust & Clearing Corporation","domain":"dtcc.com","url":"https://alion.io/company/dtcc-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":81,"open_postings":92,"ghost_share":0,"stale_share":0.717,"repost_share":0.054,"time_to_fill_p50_days":36,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tampa, United States","Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alation","optional":false},{"name":"AWS","optional":false},{"name":"Collibra","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Erwin","optional":false},{"name":"Informatica","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-11-12T19:41:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-14T12:57:37Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Are you ready to make an impact at DTCC?\nDo you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.\n[No Job Family]\nPay and Benefits:\nCompetitive compensation, including base pay and annual incentive\nComprehensive health and life insurance and well-being benefits, based on location\nPension / Retirement benefits\nPaid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.\nDTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).\nThe Impact you will have in this role:\nThe Director, Enterprise Data Modeling & Architecture Governance is a senior technology and data leader responsible for establishing and advancing the enterprise approach to data modeling and ensuring that data architecture standards are consistently governed and adopted across the organization.\nThis role will define the enterprise data modeling strategy, standards, patterns, automation and data architecture governance framework across conceptual, logical, and physical data models and enterprise data capabilities. The Director will partner closely with Enterprise Data Architecture, Data Engineering, Data Governance, business data leaders, and application architecture teams to ensure that data is designed as a reusable, interoperable, well-governed enterprise asset.\nThe role will provide leadership across modern data ecosystems, including Snowflake, AWS, operational platforms, analytical environments, and data products, while establishing governance mechanisms that balance enterprise consistency with the speed required by delivery teams.\nA critical responsibility will be connecting business semantics, enterprise information models, data products, and physical implementation, ensuring that enterprise data architecture is translated into actionable standards for engineering teams.\nPrimary Responsibilities\nEnterprise Data Modeling Strategy\nDefine and own the enterprise strategy for conceptual, logical, and physical data modeling.\nEstablish common enterprise modeling methodologies, standards, naming conventions, patterns, and reusable reference models.\nDevelop and maintain enterprise canonical models and shared business entities for critical data domains as applicable.\nEstablish clear relationships between business concepts, business glossaries, logical models, physical models, APIs, data products, and analytical datasets.\nDrive adoption of domain-oriented modeling approaches supporting both operational and analytical use cases.\nEnterprise Data Architecture Governance\nEstablish governance processes to ensure data solutions conform to approved enterprise architecture principles and standards.\nLead or provide senior leadership to data architecture review and design governance forums for data-related initiatives.\nDefine practical data architecture guardrails and decision criteria that engineering teams can incorporate into solution development.\nEstablish mechanisms for evaluating and documenting architecture exceptions, technical debt, and remediation plans.\nPartner with Enterprise Architecture and solution architects to ensure data architecture decisions are consistent across business and technology domains.\nIntroduce measurable governance practices, including architecture compliance, model reuse, exception aging, and standards adoption.\nMetadata, Governance & Semantic Architecture\nIntegrate data modeling with the enterprise metadata and governance ecosystem.\nEnsure alignment among data models, business glossaries, data catalogs, metadata, lineage, and data-quality controls.\nPartner with Data Governance and Data Stewardship teams to establish consistent definitions for critical data elements.\nDrive increased automation between modeling, metadata-management, governance, and engineering processes where appropriate.\nAdvance semantic modeling capabilities that make organizational data easier to discover, understand, govern, and use by both people and AI.\nModern Data Architecture\nProvide architectural leadership for modeling across Snowflake and AWS-based data ecosystems, as well as traditional and operational data platforms.\nEstablish modeling guidance covering relational, dimensional, event-driven, semi-structured, and analytical data patterns.\nDefine architectural approaches for data sharing, integration, interoperability, and appropriate separation between operational, analytical, and data-product concerns.\nPartner with Data Engineering leadership to translate logical architecture into scalable physical implementations.\nEvaluate emerging approaches including knowledge graphs, semantic layers, metadata-driven architecture, data contracts, and AI-enabled data management.\nLeadership & Organizational Influence\nBuild and lead a high-performing enterprise data modeling and architecture governance capability.\nDevelop senior data modelers while establishing clear career paths and communities of practice.\nInfluence senior technology and business leaders on enterprise data architecture decisions.\nFacilitate resolution of architecture decisions that span multiple organizations or data domains.\nBalance strategic architecture objectives with delivery timelines, investment priorities, risk, and operational constraints.\nEstablish multi-year roadmaps for improving enterprise modeling maturity and reducing structural data complexity.\nTalent Needed for Success\nTechnical & Architecture Expertise\n12+ years of experience in data architecture, data modeling, data engineering, information architecture, or related disciplines, with significant experience operating at enterprise scale.\n5+ years of leadership experience managing architects, modelers, or senior technical professionals.\nDeep expertise in conceptual, logical, and physical data modeling.\nStrong understanding of enterprise information architecture, canonical models, semantic modeling, dimensional modeling, normalization, and domain-driven design.\nDemonstrated experience establishing enterprise architecture governance frameworks, standards, and review processes.\nExperience designing modern cloud data architectures, preferably involving Snowflake and AWS.\nStrong understanding of data governance, metadata management, lineage, data quality, master/reference data management, and data stewardship.\nExperience with enterprise modeling and metadata platforms such as erwin, ER/Studio, Collibra, Alation, Informatica, or equivalent technologies.\nUnderstanding of modern architectural practices such as data products, data mesh, data contracts, event-driven architecture, knowledge graphs, semantic layers, and API-based integration.\nLeadership Competencies\nProven ability to establish enterprise standards while maintaining productive partnerships with engineering and business teams.\nAbility to translate complex architectural issues into clear decisions and recommendations for executive audiences.\nStrong organizational influence across teams where direct reporting relationships may not exist.\nExperience developing strategies, roadmaps, operating models, and investment priorities.\nStrong talent-development capabilities, including coaching senior architects and technical leaders.\nAbility to balance strategic architecture, risk management, delivery velocity, and total cost of ownership.\nEducation\nBachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, or a related field required.\nMaster's degree or equivalent advanced experience preferred.\nRelevant architecture or data-management credentials, such as DAMA/CDMP, TOGAF, Snowflake, or AWS certifications, are beneficial but not required.\n.\nThe salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. 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