At a Glance
- Tasks: Lead AI governance initiatives and shape standards for responsible AI practices.
- Company: Billigence, a global data consultancy transforming how organisations work with data.
- Benefits: Inclusive workplace, diverse team, and opportunities for professional growth.
- Other info: Join a dynamic team focused on enterprise-scale transformation across various industries.
- Why this job: Make a real impact in AI governance and drive innovation in a fast-evolving field.
- Qualifications: Experience in Data Governance, AI Governance, and strong stakeholder engagement skills.
The predicted salary is between 56700 - 69300 £ per year.
Who we are: Billigence is a boutique data consultancy with global reach, helping organisations transform the way they work with data. We specialise in delivering high-impact data solutions across Data Management, Data Governance, Cloud Data Platforms, AI Enablement, and Advanced Analytics. Headquartered in Sydney with offices across the UK, Europe, and APAC, Billigence partners with organisations to design and implement modern data capabilities that drive better decision-making and business outcomes. Our teams work on complex, enterprise-scale transformation programmes across industries including retail, financial services, and technology.
About the role: We are looking for an AI Governance Lead to support a major enterprise AI transformation programme through to March 2027. This role will work closely with senior leadership to help shape, establish, and operationalise AI governance standards, frameworks, and controls across the organisation. The environment is still relatively immature from an AI governance perspective, making this an opportunity for someone who can bring structure, pragmatism, and strong governance expertise into a rapidly evolving space. The successful candidate will play a key role in helping the organisation move from high-level AI principles into practical governance processes, standards, and implementation.
What you’ll do:
- Support the development and implementation of enterprise AI governance frameworks and standards
- Translate high-level AI principles into practical governance processes and operating models
- Work closely with business, legal, risk, security, data, and technology teams to ensure responsible AI practices are embedded
- Help define governance controls around AI usage, data handling, model risk, compliance, and accountability
- Advise stakeholders on AI governance best practices across emerging use cases
- Support the creation of policies, standards, and decision-making frameworks for AI initiatives
- Drive alignment between AI governance, data governance, and enterprise risk functions
- Operate effectively within a fast-evolving and relatively immature AI governance environment
- Support senior leadership in establishing scalable and sustainable governance capabilities
What you’ll need:
- Strong experience within Data Governance, AI Governance, Risk, or Enterprise Data Management
- Experience supporting AI, analytics, or data transformation programmes within large organisations
- Strong understanding of governance frameworks, controls, policy development, and risk management
- Ability to operate strategically while also supporting practical implementation
- Experience influencing senior stakeholders across business and technology functions
- Understanding of responsible AI principles, regulatory considerations, and governance best practices
- Strong communication, facilitation, and stakeholder engagement skills
- Experience working within evolving or immature governance environments
- Retail or enterprise-scale transformation experience is advantageous
Inclusion and equal opportunities: Billigence is committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from people of all backgrounds, experiences, and perspectives and are committed to equal opportunities throughout the recruitment process.
AI Governance Lead - (Inside IR35) employer: Billigence
Billigence is an exceptional employer that fosters a collaborative and supportive consultancy culture, making it an ideal place for experienced Data Architects to thrive. With a focus on employee growth and development, the company offers opportunities to work on transformative projects that leverage cutting-edge technologies in a dynamic global environment. Located in Sydney, Australia, Billigence not only provides a vibrant work atmosphere but also encourages meaningful contributions to data-driven decision-making across diverse industries.
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We think this is how you could land AI Governance Lead - (Inside IR35)
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We think you need these skills to ace AI Governance Lead - (Inside IR35)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Billigence. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
