Head of Enablement (Contract Position) at Boardroom Appointments

Role purpose

• The Head of Business Enablement is accountable for driving effective, governed, and value-led adoption of Generative AI (Gen-AI – Co-pilot, Claude) across the organisation. The role provides overall leadership for a business-facing enablement capability, ensuring that demand is addressed at the appropriate level through hands-on enablement and tactical solutioning, or escalated to core platform and engineering teams where strategic delivery is required.
• This role acts as the primary interface between business stakeholders and technology teams, owning the operating model, intake and prioritisation, governance, reporting, and service continuity.

Role summary

• The Head of Business Enablement leads a managed, business-facing Gen-AI enablement capability. The role embeds enablement resources alongside business users to drive practical adoption, rapid tactical solutions, and structured escalation of complex needs.
• This is an outcomes-driven leadership role, responsible for service performance, stakeholder alignment, and measurable value realisation over the lifecycle of the engagement.

Key responsibilities

Service ownership and leadership

• Own the end-to-end Business Enablement operating model, from demand intake through triage, delivery, reuse, and measurement.
• Lead and manage the enablement team, ensuring appropriate coverage aligned to priority stakeholders, workflows, and adoption goals.
• Ensure service continuity through effective onboarding, knowledge management, leave cover, and substitution mechanisms.
• Establish a delivery culture focused on hands-on enablement and tangible business outcomes rather than documentation-only support.

Executive stakeholder management and engagement

• Act as the senior point of contact for business and technology leadership on Gen-AI enablement matters.
• Establish and run regular governance forums, including weekly operational reviews and monthly insights or steering sessions.
• Maintain transparent communication on pipeline status, delivery progress, adoption, sentiment, and realised or estimated benefits.

Demand intake, triage, and prioritisation

• Own the single intake mechanism for Gen-AI -related demand, ensuring requests are captured, triaged, prioritised, and tracked transparently.
• Ensure demand is shaped into clear problem statements, scope boundaries, acceptance criteria, and prioritised backlogs.
• Enforce a consistent triage approach to distinguish between enablement-deliverable tactical work and platform or engineering-led initiatives.

Orchestration with platform and technology teams

• Act as the translation layer between business demand and technology delivery teams.
• Oversee the preparation of structured escalation packs, covering problem context, business value, risks, constraints, dependencies, and success measures.
• Track progress of escalated initiatives and remain the conduit between business stakeholders and delivery teams.

Governance, risk, and controls

• Ensure the enablement capability operates within organisational governance, security, privacy, and data-handling requirements.
• Oversee the maintenance of risk, issue, decision, and dependency logs.
• Ensure all enablement artefacts, including prompts, agents, automations, and playbooks, are stored in approved repositories and remain auditable.

Measurement, SLAs, KPIs, and reporting

• Define, agree, and manage service levels and performance indicators across intake responsiveness, delivery turnaround times, training adherence, and reporting timeliness.
• Own weekly operational reporting and monthly insights packs covering adoption trends, throughput, reuse, satisfaction, and value indicators.
• Use metrics and qualitative insights to continuously refine the operating model and focus areas.

Mobilisation and transition management

• Lead mobilisation activities, including access, tooling setup, operating rhythms, intake processes, initial backlog formation, and enablement planning.
• Ensure the delivery of an initial enablement asset pack early in the engagement, including prompt templates, playbooks, and standard ways of working.
• Own the transition-out and knowledge transfer approach, ensuring sustainable handover of artefacts and know-how.

Delivery model expectations

• Operate an embedded, business-facing delivery model, with frontline enablement supported by offsite capacity for asset creation and back-office activities.
• Define and manage onsite and offsite delivery expectations per role, including coverage hours and escalation paths.

Required skills and experience

Leadership and operating model capability

• Strong executive stakeholder management and facilitation skills.
• Proven experience owning and scaling business enablement or adoption-focused operating models.
• Demonstrated ability to lead multidisciplinary teams in a managed service or outcome-based delivery model.

Gen-AI and technology enablement

• Deep understanding of Gen-AI concepts and enterprise adoption patterns.
• Experience balancing rapid tactical delivery with longer-term platform or engineering initiatives.
• Strong ability to translate business problems into fit-for-purpose delivery pathways.

Ways of working

• Outcome-oriented, pragmatic, and comfortable operating in fast-moving environments.
• Strong governance and reporting discipline, with an emphasis on transparency and measurable value.
• Confident operating at both strategic and execution levels, from executive forums to delivery oversight.

Key deliverables owned by the role (through the team)

• Business Enablement operating model and mobilisation artefacts.
• Demand intake log, prioritised backlog, and triage outcomes.
• Structured escalation packs for platform or engineering delivery.
• Reusable enablement assets, including prompt and agent libraries.
• Training and adoption plans and artefacts.
• Weekly operational updates and monthly insights reports.
• Risk, issue, decision, and action registers.

Performance measures (illustrative)

• Adherence to agreed service levels across intake, triage, delivery, and reporting.
• Adoption and engagement across priority user cohorts.
• Throughput and reuse of enablement assets.
• Stakeholder satisfaction and perceived value.
• Demonstrable time, quality, or productivity improvements linked to enablement.

Preferred experience

• Experience enabling Generative AI or automation Within Financial Services, Investment Banking, or Similarly Regulated Industries.
• Prior exposure to Managed Service Delivery Models with clear SLAs, KPIs, and reporting requirements.
• Experience working with Centre-Of-Excellence-Style Enablement Teams.
• Number of years' experience: 5-7 years