Data Governance Consultant – Data Quality

Data Governance Consultant – Data Quality About Billigence Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organisations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions across Cloud Data Warehousing, Visualisation, Data Science, Data Engineering, and Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the Role We are looking for a Data Governance Consultant with a strong focus on Data Quality frameworks. You will work embedded within client environments to design, implement, and mature data quality programmes, leveraging the Ataccama ONE platform to deliver measurable improvements in data reliability and trust. What You’ll Do Design and implement Data Quality frameworks aligned to client business objectives. Configure and develop solutions using Ataccama ONE, including rules, profiles, and remediation workflows. Collaborate with data owners and stewards to define DQ metrics, thresholds, and remediation processes. Conduct data profiling and root-cause analysis to identify quality issues at source. Produce clear documentation including DQ scorecards, runbooks, and governance artefacts. Support clients in embedding data quality into broader data governance operating models. Present findings and recommendations to senior stakeholders. What You’ll Need Hands-on experience with Ataccama ONE (rules engine, DQ monitoring, lineage). Solid grounding in data quality methodologies, frameworks (e.g. DAMA, DCAM), and best practices. Experience designing data quality scorecards and KPIs for enterprise clients. Understanding of data governance operating models and how DQ fits within them. Strong communication and stakeholder management skills. Consultancy or client-facing delivery experience preferred. Familiarity with SQL and data profiling tooling. Level: Mid to Senior Benefits Hybrid/remote working environment for flexible work-life balance. Competitive compensation package + performance bonus. Referral bonus scheme. Coaching, mentoring, and buddy scheme. Certification opportunities throughout your time with us. Career growth support, internal moves, and advancement opportunities. Team building and networking events. Got any questions? If you are a talented and experienced Data Expert passionate about cutting-edge data projects and digital transformation, we’d love to hear from you! Contact: [email protected]