Data and AI Engineer Director | Market Lead

Location: London, United Kingdom preferred; UK-wide remit. Candidates should be London-based or within approximately a two-hour commute, with 1–2 days per week in the London office and weekly travel once or twice to customer locations across UKI.

Company

hirify.global is a technology consultancy that helps clients solve complex business problems through technology and has operated for more than 30 years.

What you will do

• Lead the UKI Data & AI practice and manage 5–6 direct reports plus a wider matrix of approximately 50–75 people.
• Drive complex Data & AI deals from opportunity shaping through signed agreement, including fixed-price and outcome-linked commercial models.
• Partner with technology advisory and industry domain leads from pre-sales through delivery, shaping business-outcome hypotheses and thin delivery slices.
• Build team capacity, reduce bench waste, and shift capabilities toward production AI engineering and agentic delivery through hiring, reskilling, and onboarding.
• Manage executive relationships with CDOs, CIOs, CISOs, CFOs, and other CXOs; lead strategic workshops and advise on AI strategy and responsible AI.
• Lead P&L with TCV of GBP 50–75 million and ACV of GBP 45–50 million, including sales, margin, utilization, bench management, training, learning, and partnership-based sales.

Requirements

• Significant senior experience in data and AI consulting, typically 15+ years, with leadership experience.
• Experience selling multiple large-scale Data & AI deals, including the ability to discuss deal structure, pricing, trade-offs, delivery, and business value.
• Strong solutioning experience across complex data platforms, data products, data governance, and production AI systems, including agentic and LLM-based systems.
• Recent hands-on AI depth from the last 2–4 years, such as AI agents, AI advisory, or AI foundations with large UK clients, alongside a strong data foundation.
• Strong cloud proficiency in at least one major platform: GCP, AWS, or Azure; familiarity with the AI tooling and model platforms available on those clouds.
• Comfort with P&L, business cases, ROI discussions, and negotiations with CFO-level stakeholders.
• Experience leading and scaling teams of a similar size in a matrix through organizational change.
• Exceptional communication, executive presence, C-level exposure, and experience presenting and negotiating with CDOs and CXOs.
• Ability to facilitate strategic workshops, lead consultative client conversations, work through ambiguity, and coach other leaders.

Nice to have

• Snowflake or Databricks experience.
• Experience with NVIDIA and other modern technology stacks.
• Recent GenAI or agentic engagement experience.

Culture & Benefits

• Flexible career development supported by interactive tools, development programs, and colleagues who help employees grow.
• A cultivation culture focused on continuous learning, autonomy, and helping colleagues perform at their best.
• Inclusive and supportive environment with opportunities to work on complex, purposeful technology projects.
• Recruitment AI tools are used for administrative tasks only and do not screen, assess, rank, or make hiring decisions.
• AI recruitment systems are tested and monitored for bias, with mitigation measures and governance of third-party vendors.