Data Governance Technology Delivery Associate Director

EY•Atlanta, DC

1d•$150,000 - $337,500

About The Position

The Technology Enablement Delivery Manager is an Associate Director role within EY’s Global Data Stewardship Office (DSO). The role leads business delivery of priority data governance technology projects from mobilisation through business acceptance, operational handover and measurable outcomes. It connects DSO specialists, business stakeholders, Data Owners, Data Stewards, change teams, Technology and vendors to deliver tested capabilities and sustainable adoption. The position combines project delivery discipline, practical data governance knowledge, technical fluency and product management practices. It translates business and user needs into requirements and roadmaps, coordinates priorities and measures value, and helps Service Lines and Service Line Quality turn governance needs into practical solutions. The role owns integrated project delivery and coordination, while working with accountable product, process, platform and control owners who retain their decision rights. The Associate Director works with a high degree of independence within approved scope, governance and delivery parameters. The role has no direct reports or indirect supervisory accountability, but provides delivery leadership across multidisciplinary project teams. It operates globally across DSO and partner functions, aligning delivery to DSO strategy, approved portfolio priorities and relevant EY governance forums.

Requirements

Bachelor’s degree or equivalent tertiary qualification in business, information systems, computer science, engineering, data management, project management or a related discipline, or equivalent relevant experience.
At least 7 years of relevant project delivery experience, including delivery of modern data governance or data management technology.
Demonstrated experience leading multidisciplinary, technology-enabled data governance projects from discovery and mobilisation through business acceptance and operational transition.
Experience applying product management practices with business analysts and product teams to develop requirements, roadmaps, prioritised backlogs, user stories and acceptance criteria, and to measure business value, adoption and control outcomes.
Experience delivering one or more data governance capabilities, such as data catalogues, metadata and lineage, semantic management, data quality and observability, discovery and classification, stewardship workflows, access governance, lifecycle automation, governance dashboards, data-product governance or responsible data and AI controls.
Experience applying Agile, waterfall and hybrid methods to complex projects, including planning, dependency management, testing, releases and benefits realisation.
Strong experience using enterprise project management tools to manage plans, resources, budgets, risks, dependencies, decisions and reporting.
Practical delivery experience coordinating requirements, architecture, configuration, integration, environments, migration, testing, security review, change, adoption, transition and vendors across data platforms and cloud ecosystems.
Ability to coordinate implementation of approved policy and risk requirements through metadata models, rules, workflows and automated controls, with traceable test results and acceptance evidence.
Experience working across a global, federated organisation and influencing business, data and technology stakeholders outside the reporting line.
Strong project delivery expertise across mobilisation, governance, integrated planning, financial management, resources, vendors, dependencies, testing, transition and closure.
Practical knowledge of Agile, waterfall and hybrid delivery methods and product management practices, including user discovery, requirements refinement, roadmaps, backlog prioritisation, iterative delivery and release governance.
Proficiency with enterprise project management tools, collaboration platforms, dashboards and automated reporting.
Practical knowledge of data governance capabilities relevant to delivery, including catalogues and metadata, lineage and semantic management, data quality and observability, discovery and classification, stewardship workflows, access and lifecycle controls, data-product governance and responsible data and AI.
Ability to translate business needs and approved policy and risk requirements into implementable business, functional and non-functional requirements, and coordinate requirements-to-test traceability and owner validation of acceptance criteria and control evidence.
Technical fluency in modern data platforms and cloud ecosystems, including the ability to work with architects, engineers, platform, security and service teams and assess delivery assumptions, dependencies, test results and implementation evidence.
Strong commercial judgement, digital fluency, critical thinking, structured problem solving and adaptability.
Strong business engagement and executive communication skills, including explaining technical concepts in practical business language, facilitating decisions, negotiating priorities, resolving dependencies and influencing stakeholders.
Applied knowledge of relevant DAMA-DMBOK data management practices, EDM Council DCAM capability assessment concepts or CDMC cloud data management controls, selected according to project scope.
Relevant project or Agile delivery credentials such as PMP, PRINCE2 or SAFe are advantageous but not mandatory.
Continuous professional learning across project delivery, product management, data governance and relevant technologies is valued.

Nice To Haves

Hands-on configuration or engineering expertise.
Experience with Microsoft Purview and Fabric, Collibra, Informatica, Alation or Databricks Unity Catalog, or comparable technologies.
Working awareness of relevant standards and practices such as ISO/IEC 38505, ISO 8000, ISO/IEC 27001, NIST-aligned practices and ISO 15489.
DAMA CDMP, relevant EDM Council DCAM or CDMC training or credentials, governance platform certifications, or recognised qualifications in cloud, risk, privacy, cybersecurity or responsible AI.
Relevant project or Agile delivery credentials such as PMP, PRINCE2 or SAFe.

Responsibilities

Convert funded governance priorities into executable delivery plans by facilitating discovery with business users, Service Lines, Service Line Quality and data stakeholders.
Confirm project scope, accountabilities, delivery approach, resources and success measures.
Coordinate the translation of business needs into business, functional and non-functional requirements, user stories and measurable acceptance criteria, maintaining traceability from approved policy and risk requirements to delivery work, testing and implementation evidence.
Develop and maintain integrated plans, milestones, workstreams, budgets, resource needs and critical dependencies.
Support product teams in developing roadmaps and prioritised backlogs aligned to business value, risk, capacity and dependencies.
Establish project governance, decision pathways, reporting cadence and quality controls.
Manage scope, schedule, quality, resources, budget, vendors, risks, issues, assumptions, changes and decisions within approved parameters.
Facilitate priority and trade-off decisions, negotiate delivery commitments and escalate unresolved conflicts to accountable decision-makers.
Coordinate DSO specialists, Data Owners, Data Stewards, business analysts, change teams, Technology and vendors through design and delivery.
Resolve dependencies across metadata and lineage, data quality, lifecycle controls, stewardship workflows, data products and AI-ready data, including configuration, metadata modelling, rules, integrations and automation delivered by implementation teams.
Coordinate business testing, defect resolution and acceptance against approved requirements, including evidence that governance workflows and automated controls operate as intended.
Support release readiness and obtain required approvals from designated owners; coordinate data and process readiness, communications, training, adoption, operational handover and closure.
Track business value, adoption and control effectiveness against agreed measures with benefits and control owners.
Report delivery health transparently to sponsors and governance forums, including actions, decisions and escalation needs.
Recommend recovery, phased delivery, revised baselines or a pause when scope, readiness, risk or value requires intervention.
Assess delivery constraints and evidence, identify accountable owners, drive resolution and escalate decisions outside approved scope or delegated authority.
Build agreement across global business, data and technology stakeholders on dependencies, delivery commitments and adoption.