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

Open nowPosted 7 hours ago

AI & Data Science Craft Lead

X, bigly labs16 open roles

Where
Hybrid (Melrose Arch)
Work mode
Hybrid
Get the CV for this job

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

Your applicationOpen nowAI & Data Science Craft LeadX, bigly labs · Hybrid (Melrose Arch)

  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 X, bigly labs'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.

13.5% of postings close within 7 days. Measured by our own scanner across the market. X, bigly labs postings stay open a median of 12 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 7 hours ago

X, bigly labs median: 12 days open

The posting

We are X, bigly labs, Dis-Chem’s high-performance innovation hub; a place where bold ideas meet data, design, and radical customer focus to reimagine what healthcare can be.

Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans. We do this through cutting-edge digital solutions that deliver smarter, more human, and truly patient-focused experiences. Here, your work is not limited to a whiteboard; it becomes real. It drives decisions, shapes experiences, and moves healthcare forward. We are driven by one big question: How do we use data and today’s technology to build breakthroughs to better health?

There’s only one question left: are you ready to make healthcare smarter, and actually mean it?

The AI & Data Science Craft Lead is the custodian of the AI and Data Science craft across X, bigly labs, spanning Data Science, Machine Learning, AI Engineering and MLOps/ LLMOps. The AI & Data Science Craft Lead independently leads day-to-day technical direction, craft operations and delivery assurance across tribes and domains. The role translates enterprise AI and Data Science strategy into executable technical roadmaps, sound architecture decisions, production-ready solutions and measurable business outcomes. The role provides expert oversight of advanced predictive modelling, forecasting, optimisation, experimentation, generative AI, retrieval-augmented generation, agents and enterprise integrations; establishes technical standards and quality gates; and develops talent, reusable capabilities and Centres of Excellence.

WHAT WE ARE LOOKING FOR?

Minimum

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or a related quantitative field
  • 10+ years of relevant experience across data science, machine learning and/or AI engineering, including delivery of production solutions
  • 5+ years leading technical professionals, with experience managing teams and influencing delivery in a matrix organisation
  • Proven hands-on technical leadership in at least one of advanced data science or AI engineering, with sufficient breadth to independently review, challenge and direct work across predictive ML, GenAI and production AI systems
  • Demonstrated accountability for end-to-end AI/ML delivery: problem framing, modelling, experimentation, architecture, deployment, monitoring, reliability and measurable business outcomes
  • Experience with generative AI, LLM applications, RAG, evaluation, guardrails and the trade-offs between prompting, retrieval and fine-tuning
  • Demonstrated ability to establish technical standards, reusable patterns, communities of practice or Centres of Excellence
  • Experience recruiting, coaching, performance-managing and developing technical talent, including contractors and consultants
  • Independently make and defend complex architecture and engineering decisions, lead senior technical discussions and translate strategy into execution
  • Practical experience with advanced predictive modelling, forecasting, optimisation, experimental design and statistical learning, and sound judgment on when simpler analytical approaches are preferable
  • Experience leading technical roadmaps, production readiness reviews and cross-functional delivery of enterprise AI solutions, including cost, risk, scalability and build-versus-buy trade-offs

Advantageous

  • Postgraduate qualification in Data Science, AI, Computer Science or a related field
  • Experience in retail, pharmacy, healthcare, loyalty, demand forecasting and pricing
  • Hands-on Databricks on AWS experience, including MLflow, Unity Catalog, Feature Store, Model Serving and Mosaic AI capabilities
  • Experience with MLOps, LLMOps, model risk management, privacy, responsible AI and enterprise AI governance

WHAT YOU WILL BE DOING?

  • Define and maintain standards for data science, AI engineering, ML/LLM lifecycle, experimentation, documentation, testing, version control and deployment
  • Maintain role profiles, competency frameworks and technical expectations for Data Scientists, AI Engineers and ML/MLOps practitioners
  • Set quality gates for data suitability, model validation, bias and robustness checks, LLM evaluation, security, deployment readiness and post-release monitoring
  • Establish reproducible development and deployment practices, model/experiment tracking, registries, release controls and monitoring with platform teams
  • Establish and run AI and Data Science communities of practice with charters, roadmaps and practical knowledge-sharing
  • Lead architecture and engineering practices for LLM applications, RAG, AI agents, tool use, APIs, orchestration and enterprise system integration

WHO YOU ARE?

  • Have deep competence in applied machine learning, statistical modelling and AI engineering, with sound judgment about when each is appropriate.
  • Have a strong knowledge of LLMs, RAG, agents, model evaluation, MLOps/ LLMOps, cloud platforms and software engineering.
  • Must have the ability to challenge architecture, code, experiments and model performance constructively.
  • Must be an experienced leader and mentor in matrix teams; builds high standards without relying solely on reporting authority.
  • Be able to communicate complex technical choices to executives and non-technical stakeholders. Influences delivery leaders, governance partners and technical teams through credibility and collaboration

Our values show up in how we think, build, and make choices that make an impact. We are building a culture that drives progress; one that fixes friction, chases what changes, and owns the outcome. We design with tomorrow in mind, ask sharper questions, and answer them with care, urgency, and systems that scale.

Think you’ve got energy, curiosity, and guts? Come hold the space, make it matter, and own a breakthrough.

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 X, bigly labs'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 X, bigly labs'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

    X, bigly labs'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.