Data Governance Specialist

About Zinkworks

Zinkworks partners with leading Telecommunications and Financial Services organizations to modernize legacy systems migrate mission-critical platforms to the cloud and engineer AI-driven automation. From OSS transformation to rApp development and network intelligence our teams simplify complexity and turn it into competitive advantage. Based in Ireland and operating across the EU UK and US Zinkworks combines deep domain expertise with delivery excellence to help clients modernize faster and operate smarter.

Role Overview

We are seeking a Data Governance Specialist to lead the definition of data requirements underpinning AI-driven use cases within large-scale enterprise transformation programmes (e.g. APEX).

This role will focus on establishing the data foundations required for AI models and workflows ensuring that governance quality lineage and compliance considerations are embedded earlyprior to implementation.

Operating at the intersection of business data and AI engineering you will work closely with CTO Data Governance teams domain Data Owners AI/ML engineering teams and data platform teams ensuring alignment between governance standards business outcomes and technical implementation. You will also partner with business stakeholders and product owners to translate AI use cases into clear actionable data requirements.

You will play a critical role in ensuring that AI solutions are built on trusted well-governed and high-quality data enabling scalable and compliant AI adoption.

Key Responsibilities

• Lead data discovery and identify all data sources required to support AI use cases

• Define Critical Data Elements (CDEs) and associated metadata ensuring clear semantic meaning and relationships

• Establish data quality rules and contribute AI-specific requirements into data contracts (e.g. fields latency refresh rates)

• Define AI data requirements including accuracy completeness timeliness and availability

• Specify requirements for feature stores including reusable features transformation logic and update frequency

• Define embedding and vector store requirements to support semantic search and contextual AI use cases

• Document end-to-end data lineage to ensure traceability and trust in AI outputs

• Define data lifecycle and retention policies aligned to cost performance and compliance needs

• Identify and classify sensitive data ensuring compliance with GDPR and other regulatory obligations

• Provide input into AI data readiness assessments in collaboration with Data Governance stakeholders

Required Skills & Experience

• 5 years experience in data governance data management or data architecture

• Strong understanding of data governance frameworks (e.g. DAMA-DMBOK)

• Experience defining data quality rules metadata and lineage

• Familiarity with AI/ML data requirements including feature engineering and model inputs

• Strong SQL skills with experience working on cloud-based data platforms such as BigQuery (or equivalent)

• Experience with data contracts and modern data platforms

• Knowledge of data privacy regulations (GDPR)

• Strong stakeholder management and communication skills

Desirable Experience

• Experience working on AI/ML or advanced analytics programmes

• Familiarity with feature stores vector databases and embeddings

• Experience in telecommunications or financial services domains

• Exposure to data observability and data quality tooling

Inclusion & Diversity at Zinkworks

At Zinkworks we are deeply committed to fostering a culture of diversity inclusion and belonging. We believe that our strength lies in the unique backgrounds perspectives and experiences of our team members. By embracing an inclusive environment we empower innovation and collaboration across all levels of our organisation. Based in Ireland we are proud to support and engage with our local communities through meaningful initiatives that promote equity and opportunity. Our commitment extends beyond the workplace as we actively contribute to creating a more inclusive and connected society for all.