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Data & AI Talent

Hiring · Coaching · Career Frameworks
  • Hiring the right peopleStructuring rigorous interview loops and identifying top-tier technical and analytical talent that genuinely raises the bar.
  • Landing the dream jobHelping data and AI professionals position themselves compellingly for elite roles — resume, narrative, interview prep, and negotiation.
  • Career frameworks & expectationsDesigning clear career ladders, defining role expectations at every level, and mapping competitive compensation to retain your best people.
  • 1-on-1 coachingMentorship for data and AI leaders and individual contributors — from Staff Engineers navigating ambiguity to Directors stepping into VP.

Activating Data with AI

LLMs · RAG · Guardrails · Dev Velocity
  • ConnectivitySeamlessly plumbing your existing data pipelines into modern AI and LLM ecosystems — from batch to real-time, across cloud providers.
  • GuardrailsEnsuring enterprise data safety, compliance, and privacy boundaries are strictly maintained when connecting data to AI systems.
  • Context engineeringDesigning robust retrieval architectures — context repositories, RAG pipelines, and vector databases — to feed AI models exactly the right information at the right time.
  • AI-assisted developmentAccelerating internal engineering velocity using modern AI developer tools — identifying what to adopt, how to govern it, and how to measure ROI.
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Data Governance in Regulated Environments

FinTech · HealthTech · Framework Controls
  • Framework implementationImplementing governance controls that satisfy regulatory requirements in FinTech, HealthTech, and other highly regulated sectors.
  • Velocity-preserving designBuilding governance structures that protect the business without becoming a tax on engineering productivity or blocking innovation.
  • Data ownership & lineageEstablishing clear ownership models, lineage tracking, and access control frameworks that scale as the organisation grows.

Compliance & Governance Audits

Gap Analysis · Remediation · Readiness
  • Current posture assessmentAn independent evaluation of your existing compliance posture across data handling, access controls, retention policies, and regulatory alignment.
  • Gap analysis & remediationIdentifying the delta between where you are and where regulations require you to be — with a prioritised, actionable remediation plan.
  • Regulatory readinessPreparing your data organisation for audits, due diligence processes, or regulatory examinations with confidence and evidence.
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Data Platform Audit

Stack Review · Cost · Architecture
  • Independent tech-stack reviewAn objective assessment of your current data platform — tools, vendors, architecture — to identify redundancy, risk, and opportunity.
  • Cost optimisationEliminating wasted spend on overlapping or underutilised tools while ensuring your platform supports the next phase of growth.
  • Scalability & architectureEnsuring your data architecture is designed for scale — not just today's volume, but 3–5 years of growth without a painful rebuild.

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