AI Project Manager

Project Manager – Artificial Intelligence | Job Description CONFIDENTIAL

JOB DESCRIPTION

Project Manager – AI

ROLE OVERVIEW

The Project Manager – Artificial Intelligence (AI-PM) is a strategic and execution-focused role responsible for
leading the company's AI transformation journey. This individual will drive automation across every
department, aligning AI initiatives with business objectives to save time, reduce costs, and significantly
improve quality of output.

The AI-PM will bridge the gap between business leadership, technical teams, and external vendors —
translating complex AI capabilities into tangible, measurable outcomes for the organisation.

POSITION DETAILS

Position Title Project Manager – Artificial Intelligence (AI-PM)

Department Technology / Digital Transformation

Reports To Chief Technology Officer (CTO) / CEO

Employment Type Full-Time

Experience Required 5–9 Years (AI / Digital Transformation Projects)

Location On-Site

STRATEGIC OBJECTIVE

Enable company-wide automation by identifying, planning, and delivering AI-powered solutions across all
departments — achieving measurable gains in operational efficiency and output quality.

• Reduction in manual processing time per department
• Positive ROI achieved within defined project timelines
• Adoption rate of AI tools across all business units
• Quality improvement scores pre-implementation vs. post-implementation
• Number of successful AI deployments per quarter
  

Project Manager – Artificial Intelligence | Job Description CONFIDENTIAL

• Employee satisfaction and time saved through automation

KEY ROLES & RESPONSIBILITIES

• Define and maintain a comprehensive AI roadmap fully aligned to the company's business objectives

• Identify automation opportunities across Finance, HR, Operations, Sales, Marketing, and Customer

• Prioritise AI initiatives based on business impact, feasibility, and ROI potential.
• Develop phased implementation plans with clear milestones, timelines, and measurable success

• Stay ahead of market trends and translate emerging AI opportunities into actionable strategies.
• Present AI strategy updates to leadership on a regular cadence.

• Demonstrate strong hands-on knowledge of workflow automation platforms such as n8n, Make, Zapier,

• Design and oversee end-to-end automation workflows that integrate seamlessly with existing business

• Evaluate and recommend the most suitable platforms based on scalability, cost-efficiency, and

• Ensure automation workflows are properly maintained, monitored, and continuously optimised for

• Document all workflows with clear SOPs and handover guides for operational teams.

• Build detailed ROI models for proposed AI projects, including cost savings, time reduction, and quality

• Track and report on actual vs. projected ROI post-implementation across all active AI initiatives.
• Develop compelling business cases to secure leadership buy-in and budget approvals.
• Define KPIs and measurement frameworks for every AI initiative and report performance monthly.
• Benchmark AI investment returns against industry standards and competitor data.

• Architect scalable, user-friendly, and operationally integrated AI-driven platforms for enterprise use.
• Establish AI governance frameworks including data quality standards, model monitoring protocols, and

• Ensure platforms incorporate feedback loops for continuous learning, model retraining, and

• Design with security, privacy, regulatory compliance, and data governance requirements built in from

• Evaluate build vs. buy decisions for AI tools and platforms with clear technical and commercial

justifications.

• Clearly articulate the strategic value and business case for AI adoption to non-technical stakeholders in

accessible language.

Project Manager – Artificial Intelligence | Job Description CONFIDENTIAL

• Educate internal teams and management on AI benefits, limitations, risks, and realistic implementation

• Champion a data-driven, AI-first culture across the organisation through workshops, lunch-and-learns,

• Address change management challenges and resistance to AI adoption proactively through empathy

• Produce internal thought leadership content to build organisational AI literacy.

• Continuously research the latest AI tools, frameworks, large language models (LLMs), and

• Monitor competitor AI adoption and identify best practices from global industry leaders for potential

• Evaluate emerging technologies and present structured findings and recommendations to leadership

• Actively engage with AI communities, conferences, webinars, and research papers; maintain a strong

• Deliver a quarterly 'State of AI' report covering technology trends, vendor landscape, and strategic

recommendations.

• Demonstrate practical knowledge of vibe coding — using AI-assisted coding tools (Cursor, Replit AI,

• Leverage low-code/no-code platforms and AI-augmented development to accelerate solution delivery

• Bridge the gap between business requirements and technical implementation using AI-augmented

• Evaluate vibe-coded prototypes for production-readiness and escalate appropriately to the engineering

• Maintain awareness of the capabilities and limitations of AI code generation tools to guide responsible

adoption.

• Conduct structured discovery sessions with department heads to deeply understand pain points,

• Translate business requirements into detailed product specifications, user stories, process flows, and

• Facilitate workshops to map current-state processes and co-design AI-powered future-state workflows

• Validate that all delivered AI solutions accurately and completely address the original business

• Maintain a centralised requirements repository ensuring full traceability from requirement through to

delivery and sign-off.

• Serve as the primary point of contact for all external AI vendors, SaaS providers, and technology

• Negotiate contracts, SLAs, and deliverables with vendors; manage vendor performance throughout the

• Communicate project status, risks, changes, and outcomes to clients and internal stakeholders through

regular structured updates.

Project Manager – Artificial Intelligence | Job Description CONFIDENTIAL

• Manage expectations proactively and resolve conflicts between business needs and technical

• Prepare and deliver polished executive-level presentations, live demo sessions, and formal project

review reports.

• Oversee and review technical implementations to ensure alignment with architectural decisions, quality

• Conduct or facilitate code reviews and technical walkthroughs in collaboration with the engineering

• Collaborate closely with developers, data scientists, and DevOps engineers to remove blockers and

• Understand API integrations, webhook configurations, and system architecture at a functional level to

guide technical decision-making.

• Maintain working knowledge of relational databases (MySQL, PostgreSQL) and NoSQL systems

• Understand fundamental programming concepts in Python, JavaScript, or similar languages to

• Ability to read and interpret code, SQL queries, and data schemas without needing to write production

• Familiar with REST APIs, JSON data formats, and core cloud infrastructure concepts (AWS, Azure,

GCP).

• Build, mentor, and manage a cross-functional AI project team including developers, data analysts, UX

• Define clear roles, responsibilities, and performance expectations for all team members.
• Foster a collaborative, innovative, and psychologically safe team environment that encourages

• Conduct regular 1:1s, performance reviews, and provide constructive and timely feedback.
• Resolve team conflicts and maintain high team morale, engagement, and productivity throughout the

• Plan resource allocation and manage workload distribution proactively to prevent burnout and delivery

risk.

• Maintain a regular communication cadence with C-suite and senior leadership on AI project status,

• Translate complex technical AI concepts into clear, strategic business language for non-technical

• Present monthly and quarterly project dashboards showing progress against KPIs, delivery milestones,

• Proactively surface risks, blockers, and dependencies to management alongside recommended

• Align AI project priorities with evolving company strategy and business direction during leadership

planning cycles.

Project Manager – Artificial Intelligence | Job Description CONFIDENTIAL

QUALIFICATIONS & EXPERIENCE

• Bachelor's or master’s degree in computer science, Information Technology, Business Administration,

• 5–9 years of project management experience, with at least 3 years focused on AI, automation, or

• Proven track record of delivering AI projects end-to-end from ideation through to production

• Hands-on experience with Agile, Scrum, or hybrid project management methodologies.
• Strong proficiency in workflow automation platforms (n8n, Make, Zapier, Power Automate, or similar).
• Demonstrated ability to calculate, present, and track ROI for technology investments.

• Hands-on experience with Python, JavaScript, or SQL for technical communication and oversight.
• Familiarity with machine learning concepts, LLMs, and AI APIs (OpenAI, Anthropic, Google Gemini,

• Experience with vibe coding tools such as Cursor, Replit, v0.dev, or GitHub Copilot.
• PMP, PMI-ACP, PRINCE2, or equivalent project management certification.
• AI/ML certifications from Google, AWS, Microsoft, or DeepLearning.AI.
• Experience with enterprise software integration, ERP systems, or large-scale SaaS implementations.

CORE COMPETENCIES

TECHNICAL COMPETENCIES LEADERSHIP COMPETENCIES

AI Strategy & Roadmap Design Executive-Level Communication

Workflow Automation Platforms Team Building & Mentorship

ROI Modelling & Financial Analysis Vendor & Stakeholder Management

AI Platform Architecture Change Management

Vibe Coding & Low-Code Development Strategic Thinking

Business Requirements Analysis Conflict Resolution

Database & API Knowledge Decision Making Under Uncertainty

Research & Technology Evaluation Cross-Functional Collaboration

Data Governance & AI Ethics Client Relationship Management

WORK ENVIRONMENT & CULTURE

Project Manager – Artificial Intelligence | Job Description CONFIDENTIAL

AI-First Culture You will work in and help shape an organisation that believes
automation and AI are core competitive advantages.

High Impact Role Direct influence on company-wide productivity, profitability, and
digital capability.

Innovation Driven Encouraged to experiment, prototype, and pitch new AI tools and
ideas on a regular basis.

Data Informed All decisions are backed by data. You will have access to analytics
and dashboards to guide priorities.

Collaborative Work alongside leadership, cross-functional teams, clients, and
leading technology vendors.