Director, AI Consulting

PRAXIS INTELLIGENCE PTE. LTD.; Singapore; On-site; SGD 240,000 - 420,000; Full time

Job summary

PRAXIS INTELLIGENCE PTE. LTD. in Singapore seeks a Director of AI Consulting to lead the end-to-end AI advisory and delivery function, shaping strategy, client engagement, solution design, and team leadership across complex enterprise programs.

You will bridge business goals with AI technology, guide executive workshops, develop use-case portfolios, and drive adoption and measurable value while building a high-performing, scalable AI consulting organization.

Qualifications

• 12+ years in management consulting, AI/data consulting, or digital transformation.
• 5+ years leading multidisciplinary teams and client engagements.
• Proven ability to translate business challenges into tech-enabled transformation.

Responsibilities

• Define AI strategy, operating model, and service portfolio for the AI Consulting function.
• Lead executive workshops and advise senior stakeholders on AI investments.
• Identify AI opportunities and develop prioritized use-cases and roadmaps.
• Design AI solutions with engineers, data scientists, and product teams.
• Deliver end-to-end AI programs from discovery to scaling.
• Build and lead a high-performing AI Consulting organization.

Skills

Leadership

Executive engagement

AI strategy

Change management

Business transformation

Education

Bachelor's degree

MBA or advanced degree

Job description

Position Overview

The Director of AI Consulting will lead and build the organization’s end-to-end AI consulting function, with overall responsibility for AI consulting strategy, client engagement, solution development, delivery excellence, and team leadership.

This role serves as the bridge between business strategy, AI technology, data, and implementation. The Director will work closely with senior business stakeholders to identify high-value AI opportunities, translate business challenges into actionable AI strategies and solutions, and lead multidisciplinary teams from initial discovery and use-case definition through solution design, implementation, adoption, and value realization.

The successful candidate will combine strong management consulting capabilities, AI expertise, commercial acumen, and organizational leadership, with the ability to engage executive stakeholders while also providing direction to technical and delivery teams.

Key Responsibilities

1. AI Consulting Strategy & Practice Leadership

• Define and lead the overall strategy, operating model, methodologies, and service portfolio for the AI Consulting function.

• Build an end-to-end AI consulting capability covering AI strategy, opportunity assessment, use-case prioritization, solution design, implementation, adoption, and value realization.

• Establish standardized consulting frameworks, methodologies, playbooks, governance models, and reusable assets.

• Develop the AI consulting roadmap in alignment with broader business and digital transformation priorities.

• Continuously assess developments across Generative AI, AI agents, machine learning, automation, data platforms, and emerging AI technologies to identify new business opportunities.

• Establish clear KPIs for the AI Consulting organization and drive continuous improvement in quality, productivity, client satisfaction, and business impact.

2. Executive & Client Advisory

• Serve as a trusted AI advisor to senior executives and business leaders.

• Lead executive-level discussions to understand strategic priorities, operational challenges, and transformation objectives.

• Advise stakeholders on AI strategy, AI operating models, investment priorities, capability development, and transformation roadmaps.

• Translate complex AI technologies into clear business implications, opportunities, risks, and investment decisions.

• Facilitate executive workshops, AI strategy sessions, ideation workshops, and use-case prioritization exercises.

3. AI Opportunity Identification & Use-Case Development

• Lead structured assessments to identify business processes and functions where AI can create measurable value.

• Develop and maintain enterprise or business-unit AI use-case portfolios.

• Evaluate opportunities based on strategic value, feasibility, data readiness, implementation complexity, risk, and expected ROI.

• Build business cases and value hypotheses for AI initiatives.

• Define prioritized AI transformation roadmaps covering short-term opportunities and longer-term strategic capabilities.

4. Solution Strategy & Design

• Translate business requirements into AI solution concepts and implementation strategies.

• Partner with AI engineers, data scientists, architects, product teams, IT, and business SMEs to develop practical and scalable solutions.

• Guide solution decisions across areas such as:

  • Generative AI and Large Language Models

  • AI agents and agentic workflows

  • Machine learning and predictive analytics

  • Intelligent automation

  • Knowledge management and enterprise search

  • AI-enabled business process transformation

  • Data and AI platforms

• Ensure proposed solutions balance business value, technical feasibility, scalability, security, compliance, user experience, and cost.

5. End-to-End AI Program Delivery

• Provide leadership and governance across the full AI consulting lifecycle:

Discover → Assess → Prioritize → Design → Prototype → Implement → Deploy → Adopt → Scale → Measure Value

• Oversee multiple AI consulting engagements and transformation programs simultaneously.

• Establish appropriate program governance, milestones, quality standards, risk management, and executive reporting.

• Resolve strategic, organizational, and delivery challenges that could impact program outcomes.

• Ensure AI initiatives move beyond proof-of-concept and deliver sustainable business impact at scale.

• Establish mechanisms for measuring realized business value, adoption, productivity improvement, revenue impact, cost reduction, or other agreed outcomes.

6. AI Governance & Responsible AI

• Incorporate Responsible AI principles throughout consulting methodologies and solution development.

• Partner with Legal, Privacy, Security, Compliance, IT, and other relevant stakeholders to establish appropriate AI governance.

• Ensure AI solutions appropriately address data privacy, security, model risk, intellectual property, regulatory requirements, explainability, and human oversight.

• Help business stakeholders understand and manage the risks associated with enterprise AI adoption.

7. AI Adoption & Business Transformation

• Drive organizational adoption of AI solutions, not simply technical implementation.

• Work with business leaders to redesign workflows and operating models around new AI capabilities.

• Develop change-management, communication, training, and capability-building strategies.

• Identify barriers to adoption and establish plans to increase utilization and realized value.

• Promote an AI-enabled culture and improve AI literacy across the organization.

8. Team & Capability Building

• Build, lead, mentor, and develop a high-performing AI Consulting organization.

• Define team structure, roles, competencies, career paths, and resource requirements.

• Recruit and develop talent across AI strategy, business consulting, solution consulting, program management, and related disciplines.

• Develop consulting capabilities in structured problem solving, executive communication, business case development, AI solution design, and transformation delivery.

• Foster strong collaboration between consulting, engineering, data science, product, IT, and business teams.

• Create a culture of client focus, innovation, accountability, continuous learning, and measurable impact.

9. Commercial & Partnership Management

• Support development of AI consulting propositions, statements of work, engagement models, resource plans, and commercial proposals where applicable.

• Develop strategic relationships with technology providers, AI platforms, implementation partners, and external consulting organizations.

• Evaluate build-versus-buy-versus-partner decisions for AI initiatives.

• Manage external partners to ensure quality, knowledge transfer, delivery performance, and commercial effectiveness.

Job Requirements

Education

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, Business, Management, or a related discipline.

• MBA, Master's degree, or other advanced degree is preferred.

Professional Experience

• Typically 12+ years of professional experience, including significant experience in management consulting, digital transformation, AI/data consulting, technology strategy, or related fields.

• 5+ years of leadership experience managing consulting, AI, digital transformation, data, technology, or multidisciplinary teams.

• Demonstrated experience leading complex, enterprise-scale transformation or consulting engagements from strategy through implementation.

• Strong track record of engaging and advising senior executives and translating strategic business challenges into technology-enabled transformation programs.

• Experience establishing or scaling an AI, analytics, digital, or technology consulting practice/function is highly desirable.

• Demonstrated experience managing multiple concurrent projects, teams, stakeholders, and priorities.