Chief of Staff to the Managing Director of AI
Chief of Staff to the Managing Director of AI
Posted today
SENIORITY
Manager
About the role
- Strategic & Executive Leadership
- Partner with the Managing Director of AI and the executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes
- Lead Human Agency's AI transformation methodology: define offerings, build repeatable frameworks, and establish best practices for AI-enabled workflows
- Design end-to-end processes that embed AI tools (LLMs, automation platforms, knowledge assistants) into client workflows and internal operations
- Translate complex AI capabilities into clear business cases, use cases, and implementation roadmaps for executive audiences
- Produce high-quality executive materials (briefings, roadmaps, decision memos) that drive alignment and decisions
- Identify where AI creates leverage across client engagements and surface strategic opportunities to leadershipAI Process Design & Automated Engines
- Design and build AI-powered systems that operate independently with minimal ongoing interventionautomated engines that scale beyond individual engagements
- Create repeatable processes for AI implementation: discovery frameworks, solution architectures, evaluation routines, and governance models
- Design prompts, playbooks, and knowledge bases optimized for reliability, consistency, and reusability across multiple clients
- Implement lightweight automation using no/low-code tools (Zapier, Make, Airtable) integrated with AI capabilities
- Establish monitoring and feedback loops that enable self-correcting, continuously improving systems
- Document patterns and best practices that can be deployed at scale
- Client Service Delivery & Organizational Rollouts
- Own end-to-end delivery on multiple client engagements involving AI-enabled solutions (e.g., knowledge assistants, workflow automations, content summarization, research copilots), from discovery through launch and sustained adoption
- Lead company-wide and client-wide AI adoption initiativesmanaging stakeholder alignment, training, governance, and measurement across entire organizations
- Run comprehensive discovery to surface use cases, success metrics, risks, change-management needs, and technical requirements; translate findings into scopes, timelines, and clear acceptance criteria
- Coordinate solution build-outs with internal teammates and external partners: data/connectivity needs, tool selection, integration planning, prompt engineering, and rollout choreography
- Design change-management approaches that address skill gaps, cultural resistance, workflow disruption, and organizational readiness
- Partner with client leadership to sequence rollout phases, manage dependencies, and demonstrate ROIQuality, Governance & Evaluation
- Set lightweight evaluation routines: accuracy metrics, latency benchmarks, cost tracking, quality assurance processes, and continuous improvement cycles
- Establish prompt/playbook management, basic safety/guardrail checks, and UAT plans
- Build governance frameworks that enable responsible, scalable AI adoption across organizations
- Implement monitoring systems that track performance, usage, and business impact
- Stakeholder Management & Enablement
- Lead standing client check-ins, executive presentations, demo readiness, decision logs, and release notes, presenting succinct options and recommendations
- Create comprehensive enablement materials: user guides, FAQs, training programs, and governance playbooks that empower client teams to operate AI systems independently
- Build lasting client relationships through proactive communication, anticipation of needs, and consistent delivery quality
- Present to executive audiences with clarity and confidence, addressing concerns about accuracy, security, and adoption
- Operations & Project Management
- Design and continuously improve the operating system for AI work: intake ? triage ? prioritization ? delivery ? QA ? launch ? measurement
- Manage staffing assignments and subcontractor contributions across concurrent workstreams; keep tools current (Asana/Notion, Google Workspace, Slack)
- Budget & scope control: track time against SOWs, flag changes early, manage vendors, and ensure on-budget delivery with clear documentation
- Establish shared dashboards for delivery health (timeline, risk, burn, dependency status) and run tight meeting cadences
- Communications & Reporting
- Prepare agendas, briefings, and executive-ready presentations; synthesize complex information into actionable insights
- Provide clear, timely reporting to the Managing Director of AI and stakeholders on progress, risks, and decisions
- Contribute to Human Agency's AI thought leadership through documentation of best practices, case studies, and insights
- Experience & Skills 5-7+ years in operations, client services, product/program/project management, strategic support, consulting, or transformation roles with direct ownership of client-facing delivery
- Demonstrated success leading multi-stakeholder projects and organizational change initiatives end-to-end (scope, timelines, budgets, risk, and change management)
- Deep AI fluency: hands-on experience implementing LLM-enabled solutions, prompt engineering, workflow automation, and knowledge management systems; can shape prompts/playbooks, evaluate quality, and choose appropriate tools or vendors
- Strong understanding of AI capabilities and
Before you apply
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Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
