Data Governance Technology Delivery Associate Director

EY•Belfast, TX

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 brings together 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 includes understanding business and user needs, supporting requirements and roadmap development, coordinating priorities and measuring value. The role helps Service Lines and Service Line Quality translate governance needs into practical solutions, and is accountable for integrated project delivery and coordination while respecting the decision rights of accountable product, process, platform and control owners. The role operates with a high degree of independence within approved scope, governance and delivery parameters, receiving direction on major priorities and material accountability decisions. It has no direct reports or indirect supervisory accountability, but provides delivery leadership across multidisciplinary project teams. The position works globally with the Global Data Stewardship Office and partners across EY, including the Global Data Office, technology, security, legal, risk, business, Service Line and regional teams.

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 enterprise 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, engaging business, data and technology stakeholders and influencing people outside the reporting line.
Ability to explain technical concepts clearly, negotiate priorities, resolve dependencies and secure agreement on delivery and adoption.
Strong project delivery expertise across mobilisation, governance, integrated planning, financial management, resources, vendors, dependencies, testing, transition and closure.
Practical experience with product management practices, including user discovery, requirements refinement, roadmaps, backlog prioritisation, user stories, measurable acceptance criteria, 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, including security, performance, resilience and support needs as relevant.
Understanding of how requirements inform metadata models, reusable rules, machine-readable controls, platform configuration, workflows, integrations and operating model changes; ability to coordinate requirements-to-test traceability and owner validation of acceptance criteria and control evidence.
Technical fluency in modern data platforms and cloud ecosystems, with awareness of analytics and AI-enabled solutions, sufficient to work credibly with architects, engineers, platform, security and service teams.
Ability to challenge delivery assumptions, understand configuration, API integration, environment and automation dependencies, and assess test results and implementation evidence.
Strong commercial judgement, digital fluency, critical thinking, structured problem solving and adaptability.
Strong business engagement and clear executive communication, including the ability to explain technical concepts in practical business language, facilitate decisions and influence 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.
Exercises judgement appropriate to an Associate Director when delivery constraints, governance requirements and stakeholder priorities conflict.
Works with a high degree of independence within approved scope, governance and delivery parameters.

Nice To Haves

Exposure to Microsoft Purview and Fabric, Collibra, Informatica, Alation or Databricks Unity Catalog, or comparable technologies.
Hands-on configuration or engineering expertise.
Working awareness of standards and practices such as ISO/IEC 38505, ISO 8000, ISO/IEC 27001, NIST-aligned practices and ISO 15489, where relevant.
Relevant project or Agile delivery credentials, such as PMP, PRINCE2 or SAFe.
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.
A record of continuous professional learning across project delivery, product management, data governance and relevant technologies.

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.
Work with business analysts, DSO specialists and product teams to translate needs into business, functional and non-functional requirements, user stories and measurable acceptance criteria.
Maintain traceability from approved policy and risk requirements through delivery work, tests and implementation evidence, with validation by accountable requirements and control owners.
Develop and maintain integrated plans, milestones, workstreams, budgets, resource needs and critical dependencies.
Support product teams in developing roadmaps and prioritised backlogs, aligning delivery sequencing with agreed 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, with clear actions, decisions and escalation needs.
Recommend recovery, phased delivery, revised baselines or pause when scope, readiness, risk or value requires intervention.
Identify underlying delivery constraints, confirm accountable owners and drive timely resolution across business and technology teams.
Assess testing and implementation evidence against approved acceptance criteria and coordinate resolution with governance specialists and Technology before business acceptance.
Escalate decisions outside approved scope or delegated authority to sponsors and designated product, data, control, risk or technology owners, with options, impacts and recommendations.
Build agreement across the data ecosystem on dependencies, delivery commitments and adoption, and work with Service Lines and Service Line Quality to ensure solutions fit business processes and quality needs.