Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted today

AI Governance Lead

IBM2,583 open roles

Where
SYDNEY, AU
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAI Governance LeadIBM · SYDNEY, AU

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on IBM's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. IBM postings stay open a median of 15 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted today

IBM median: 15 days open

The posting

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading organisations across Australia and the Asia-Pacific region, helping them navigate the opportunities and risks of AI adoption — with rigour, transparency, and trust. With the support of IBM's global Trustworthy AI Centre of Excellence, world-class research capabilities, and an unmatched portfolio of AI governance tooling, you will be at the forefront of responsible AI in Australia.

At IBM Consulting, intellectual curiosity is a superpower. You'll be encouraged to explore the boundaries of what responsible AI means — technically, ethically, and legally — and to translate that knowledge into practical frameworks that our clients can act on. This role sits at the intersection of AI engineering, research, and policy: a rare opportunity for a technically deep practitioner who also wants to shape the future of responsible AI in Australia and beyond.

The AI Governance Lead will serve as IBM Consulting Australia's principal technical authority on trustworthy, responsible, and explainable AI. You will lead the AI Governance practice, advising strategic clients on how to build, deploy, and operate AI systems that are explainable, fair, transparent, and compliant with emerging Australian and global regulation. You will work as a hands-on technical leader and thought partner — able to get deep into the mechanics of a model and equally comfortable presenting to a senior executive audience.

Your primary responsibilities will include:

• Lead IBM Consulting Australia's AI Governance practice, building technical frameworks and client offerings that address explainability, fairness, transparency, and accountability across the AI lifecycle.

• Design and implement model explainability solutions — including post-hoc explanation methods (SHAP, LIME, counterfactual explanations), intrinsically interpretable architectures, and causal inference-based approaches — tailored to regulated industry contexts.

• Architect AI fairness and bias detection pipelines: audit datasets and model outputs for demographic parity, equalized odds, and disparate impact; design remediation strategies aligned to client risk appetite.

• Develop and operationalise AI governance frameworks — risk taxonomies, model risk management processes, AI impact assessments, and monitoring dashboards — leveraging IBM watsonx.governance and open-source tooling.

• Translate the rapidly evolving global AI regulatory landscape (EU AI Act, Australia's Voluntary AI Safety Standard and guardrails for high-risk AI, NIST AI RMF, ISO/IEC 42001) into practical, industry-specific compliance postures for Australian clients across financial services, healthcare, government, and energy.

• Conduct applied AI governance research: monitor academic literature, regulatory developments, and industry standards; synthesise findings into client-ready thought leadership, white papers, and practice assets.

• Partner with AI engineering teams to embed governance by design — integrating fairness constraints, explanation generation, and audit logging into MLOps pipelines and model deployment workflows.

• Serve as a trusted advisor and subject matter expert in client engagements, RFP responses, and executive briefings — articulating complex AI governance concepts clearly to both technical and non-technical audiences.

• Contribute to and represent IBM at external forums, industry bodies, standards committees, and academic partnerships relevant to responsible AI in Australia.

• Mentor junior practitioners and data scientists in responsible AI methods, building internal capability and a culture of governance-first AI development.

• Demonstrated depth in AI/ML engineering or AI research — you have built, trained, and evaluated machine learning models in production or research settings and can reason rigorously about their internals.

• Hands-on expertise in model explainability and interpretability techniques (e.g., SHAP, LIME, integrated gradients, counterfactual explanations, attention mechanisms, causal inference) and the ability to select the right method for the right context.

• Practical experience designing and implementing AI fairness assessments: familiarity with bias metrics, protected attribute analysis, and mitigation techniques (pre-, in-, and post-processing).

• Strong grounding in responsible AI principles — transparency, accountability, safety, privacy, and human oversight — and their application within an enterprise or regulated environment.

• Proven ability to independently research and rapidly assimilate new technical and policy developments; a track record of turning emerging knowledge into actionable guidance.

• Proficiency in Python and the core ML/data science stack (scikit-learn, PyTorch or TensorFlow, pandas, Jupyter); familiarity with MLOps tooling and model monitoring platforms.

• Excellent written and verbal communication skills — the ability to write precisely and persuasively for technical audiences and to simplify complex ideas for executives, regulators, and clients.

• Experience leading or significantly contributing to client-facing consulting engagements, research projects, or cross-functional technical programmes.

• Awareness of and engagement with the global AI regulatory landscape, including the EU AI Act, Australia's Voluntary AI Safety Standard, NIST AI RMF 1.0, ISO/IEC 42001, and sector-specific guidance from APRA, ASIC, or the TGA.

• Understanding of how AI regulatory requirements differ across high-risk industries — financial services, healthcare, critical infrastructure, government — and the practical compliance implications for model development and deployment.

• Experience with causal inference methods (propensity scoring, instrumental variables, difference-in-differences, structural causal models) and their application to AI fairness or impact evaluation.

• Familiarity with IBM watsonx.governance, IBM AI Fairness 360, IBM AI Explainability 360, or equivalent open-source toolkits (e.g., Fairlearn, InterpretML).

• Published research, technical blog posts, or conference presentations in AI, machine learning, responsible AI, or a related field — demonstrating both research rigour and a commitment to knowledge sharing.

• Experience in a research environment (academia, industrial research lab) and the ability to bridge the gap between research and applied consulting.

• Domain experience in regulated industries such as healthcare, financial services, insurance, government, or energy.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against IBM's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on IBM's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    IBM's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.