Data Governance Manager

**Experienced building and implementing Data Governance frameworks and policies within fast-growing organisations? Join Easygo in a newly created role working with all areas of a global organisation**

**What's in it for you?**
As the Data Governance Manager you will work with all areas of the organisation and develop the frameworks to help operationalise governance across our platforms, as we scale analytics and AI across our organisation.

**Your role with us**:
You will help ensure that Business Intelligence can safely and efficiently distribute data across the whole organisation through self-service, while embedding compliance, security, and access controls into our data processes.

This is a hands-on, execution-focused role responsible for building the operational scaffolding for data governance, with a focus on enabling data consumers (analysts, product teams, AI/ML practitioners) to access high-quality, well-documented, and compliant data across our platform.

**Who are we?**

Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies. Headquartered in the beautiful city of Melbourne, our growth has been remarkable. From humble beginnings to a thriving workforce of 600+, we've expanded not only in numbers but in ambition. There really is something for everyone here, whether you work in Tech, Marketing, Operations, Mathematics or Design, we are sure to have something for everyone.

Click play, on your career today

**What you will do**:
**Collaboration & Stewardship**:

- Act as the central point of coordination for data governance across the company, driving accountability and adoption.
- Establish and run lightweight data stewardship processes with domain experts across BI, Product, Marketing, Engineering, and Compliance.
- Lead efforts to define and enforce critical data definitions, key metrics, and usage guidelines.

**Operational Governance for Analytics & AI**
- Implement data access controls and role-based permissions that balance security with ease of use for self-service users.
- Define operational standards for dataset ownership, documentation, usage, and lifecycle management within BI and analytics tooling.
- Work closely with BI and Data Platform teams to embed governance into pipelines, semantic layers, and reporting infrastructure.

**Data Enablement & Self-Service**:

- Partner with BI and business teams to define self-service models that ensure scalable, governed data access.
- Define onboarding and training processes for new data users, and create clear guardrails for governed self-service.

**Compliance & Security**:

- Ensure data handling practices meet legal and regulatory requirements, including GDPR, AML/CTF, and emerging gambling jurisdictional laws.
- Coordinate with Legal, Security, and Compliance to align governance policies with organisational risk frameworks.
- Support audit readiness by maintaining clear documentation of data access, lineage, and controls.

**Tooling & Infrastructure**:

- Help select, implement, and operationalise data governance tooling (e.g., Atlan, Alation, Collibra, or open-source equivalents).
- Define and manage technical policies for metadata management, data quality checks, and access provisioning.
- Collaborate with engineering teams to integrate governance into our modern data stack (e.g., dbt, Redshift, AWS, Tableau, AI/ML pipelines).

**What Success Looks Like**
- Employees across the company can easily find, trust, and responsibly use data in a self-service manner.
- Sensitive and regulated data is protected and accessed in accordance with legal, security, and jurisdictional obligations.
- Governance processes are embedded into tooling and workflows—not bolted on—and scale with platform and business growth.

**What you will bring**:
**Experience**:

- 5+ years' in data governance, data operations, and/or BI platform roles.
- Strong experience implementing operational governance in modern analytics environments, preferably in high-growth or regulated tech companies.
- Familiarity with self-service analytics models and embedded governance in BI/AI ecosystems.

**Skills**:

- Understanding of Data Governance frameworks (DMBOK, COBIT or DGI etc.).
- Excellent understanding of data access controls, user provisioning, metadata management, and data quality monitoring.
- Solid working knowledge of data warehousing, BI tools (e.g., Tableau), and modern data stack components (e.g., dbt, Redshift, Looker, Snowflake, or similar).
- Strong collaboration skills with the ability to influence without formal authority across technical and non-technical teams.
- Practical understanding of legal/regulatory frameworks (e.g., GDPR, ISO 27001, AML).

**Bonus points if you also have**:

- Experience working in gambling, fintech, or other highly regulated environments.
- Experience operationalising data governance in AI/ML w