Director of Artificial Intelligence, AI Strategy
Kroll · Manila, National Capital Region, Philippines
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- On site
- Full-time
- $250,000 / year
- Manila, National Capital Region, Philippines
Job highlights
- Lead Kroll's enterprise AI strategy and implementation.
- Drive scalable, responsible, and business-aligned AI.
- Define AI architecture, governance, and technical standards.
- Build and lead a multidisciplinary AI team.
- Shape AI's impact on client insights and decisions.
About the role
Director of Artificial Intelligence, AI Strategy
At Kroll, our purpose is to bring clarity to complexity. As Director of Artificial Intelligence, you will shape and accelerate Kroll’s enterprise AI journey, building the foundation for scalable, responsible, and business-aligned AI capabilities.
You will partner across Kroll’s business lines to translate emerging AI technologies into measurable business and client outcomes. This role will be a critical participant in defining and operationalizing Kroll’s AI strategy and establishing technical standards and driving innovation that enhances insight and efficiency.
Key Responsibilities
Strategic Technical Leadership
- Collaborate on defining and executing Kroll’s AI Technology vision, strategy, and roadmap to deliver measurable business and client value, in coordination with internal stakeholders across the business.
- Advise on AI trends, emerging technologies, and market dynamics, partnering with AI business champions.
- Continuously evaluate new AI tools, models, and vendors for strategic fit, scalability, and ROI potential in partnership with business champions and AI leaders.
- Act as the champion responsible for ethical AI and delivery that reflects high integrity.
Architecture and Governance
- Define architectural principles and operating standards for scalable, secure, and ethical AI deployment.
- Lead the evaluation, design, and implementation of optimal cloud and on-premise architectures to support Kroll’s expanding portfolio of AI-driven internal and client solutions.
- Implement model lifecycle management practices from experimentation to monitoring and auditability.
- Collaborate with Infosec, Legal, Risk, Compliance, and Privacy to establish enterprise-wide AI governance for transparency, accountability, and regulatory compliance.
- Define and review model lifecycle management practices from experimentation to monitoring and auditability.
Technology and Engineering
- Provide recommendations and insights on AI/ML technologies, data architecture, and cloud ecosystems.
- Guide teams in developing, deploying, and operationalizing AI models at scale, including generative AI and LLM applications.
- Ensure alignment between research, engineering, and infrastructure teams to enable sustainable AI delivery.
- Translate business to technical requirements for R&D efforts focused on applied AI use cases, model evaluation, and emerging capabilities.
- Develop, implement, and manage an AI sandbox for experimentation and evaluation of new vendor and model capabilities.
Program and Delivery Management
- Partner with the AI strategy office to prioritize, execute, and scale AI initiatives across business units.
- Translate strategic goals into actionable programs spanning generative AI, automation, and advanced analytics.
- Develop delivery frameworks to accelerate experimentation and productionization of AI solutions aligned to Kroll priorities.
- Establish KPIs and reporting structures to measure adoption, value creation, and risk mitigation.
People and Capability Development
- Build and lead a multidisciplinary AI team encompassing data science, engineering, architecture, and change management.
- Collaborate with relevant internal champions (i.e., Learning, Communications) to launch firmwide AI fluency programs and internal communities of practice to strengthen adoption and innovation.
- Partner with HR and business leaders to embed AI literacy across all levels of the organization through best-in-class learning and enablement initiatives.
- Foster a culture of innovation, collaboration, and continuous learning aligned with Kroll’s values: excellence, ambition, courage, integrity, and inclusion.
External and Client Engagement
- Represent Kroll as a thought leader in AI ethics, governance, and innovation.
- Partner with AI leadership and business champions to co-create AI-powered solutions that strengthen insight, speed, and decision-making.
- Cultivate strategic alliances with hyperscalers, AI labs, and ecosystem partners to accelerate innovation.
Qualifications And Experience
- 12+ years of progressive leadership experience in data, analytics, or AI within a complex, global organization (preferably in professional or financial services).
- Demonstrated success in developing and operationalizing enterprise implementation of AI tooling and models.
- Deep understanding of modern AI/ML technologies, generative AI, and data architecture across cloud environments.
- Proven ability to translate AI R&D into production-grade, value-creating capabilities.
- Track record of program management with multi-disciplinary teams.
- Strong understanding of AI ethics, regulatory considerations, and responsible AI practices.
- Exceptional communication and stakeholder management skills, with the ability to bridge business and technical domains.
- Advanced degree in Computer Science, Engineering, Data Science, or equivalent experience preferred.
Skills Required
- Experience with LLMs (ChatGPT, Claude, CoPilot, Gemini, Llama, etc.)
- Fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)
- Large-scale model training
- Neural network design (CNNs, RNNs, Transformers)
- Text classification, embeddings, sentiment analysis
- Strong foundation in Python, plus secondary languages (Java/Scala, C++, Go, Rust, etc.)
- API development (FastAPI, Flask)
- Version control (Git/GitHub)
- Unit testing, code optimization, and scalability
Key Attributes
- Purpose-Driven AI Builder: Actively use and experiment with AI tools, translating emerging capabilities into practical solutions that serve clients responsibly and with integrity.
- Strategic, Execution-Oriented Operator: Ability to balance long-term vision with disciplined execution, prioritize what matters, and deliver measurable impact in fast-moving, ambiguous environments.
- Curious Systems Thinker: Desire to go beyond the news cycle to deeply understand the AI landscape, connecting business needs to technical capabilities and identifying where AI creates real advantage.
- Collaborative Enterprise Leader: Demonstrated ability to build strong, trust-based relationships across functions, levels, and geographies, leveraging diverse perspectives to drive innovation and inclusive outcomes.
- Client-Centric & Governance-Minded: Ability to balance innovation with accountability — embedding security, privacy, and governance into AI solutions to deliver high-integrity results for clients.
Why Kroll
Kroll helps clients navigate risk, unlock opportunity, and deliver trusted insights that drive confident decisions. As our Director of Artificial Intelligence, you will define how AI enhances the precision, speed, and depth of those insights.
This is a foundational role — shaping the frameworks, capabilities, and culture that make responsible AI a competitive advantage. Join us to lead with purpose, build with clarity, and deliver impact at the intersection of technology, trust, and human expertise.
Key skills/competency
- Artificial Intelligence Strategy
- AI Leadership
- Machine Learning Operations (MLOps)
- Generative AI
- Large Language Models (LLMs)
- AI Governance
- Cloud Architecture
- Program Management
- Python
- Stakeholder Management
Skills & topics
- Director of Artificial Intelligence
- AI Strategy
- Machine Learning
- Generative AI
- LLMs
- Data Science
- AI Governance
- Cloud Computing
- Leadership
- Python
How to get hired
- Tailor your resume: Highlight 12+ years leadership in AI/data and specific experience with generative AI, LLMs, and enterprise implementation.
- Showcase strategic impact: Quantify achievements in translating AI R&D into value-creating capabilities and program management success.
- Emphasize governance and ethics: Detail your understanding of AI ethics, compliance, and responsible AI practices.
- Demonstrate leadership and collaboration: Provide examples of building and leading multidisciplinary teams and strong stakeholder management.
- Prepare for technical and behavioral interviews: Be ready to discuss AI trends, architecture, governance, and your leadership philosophy.
Technical preparation
Master LLMs: ChatGPT, Claude, Gemini, Llama.,Practice prompt engineering and RAG techniques.,Understand neural networks and large-scale training.,Code proficiency in Python and API development.
Behavioral questions
Describe a complex AI strategy you developed.,How have you ensured ethical AI deployment?,Share an experience leading diverse AI teams.,How do you balance innovation with governance?
Frequently asked questions
- What is Kroll looking for in a Director of Artificial Intelligence candidate?
- Kroll seeks a Director of Artificial Intelligence with over 12 years of progressive leadership experience in data, analytics, or AI. Key requirements include a deep understanding of modern AI/ML, generative AI, data architecture, and a proven ability to translate R&D into production-grade, value-creating capabilities. Strong experience in AI ethics, governance, program management, and exceptional communication skills are also crucial. An advanced degree in a relevant field is preferred.
- What are the primary responsibilities of the Director of AI at Kroll?
- The Director of Artificial Intelligence will shape and accelerate Kroll's enterprise AI journey, defining its vision, strategy, and roadmap. Responsibilities include establishing scalable, responsible AI capabilities, defining architectural principles and governance standards, guiding AI/ML technology implementation, managing AI programs, developing AI talent, and representing Kroll as a thought leader in AI ethics and innovation.
- What kind of AI technologies and tools is Kroll focused on?
- Kroll is focused on modern AI/ML technologies, with a significant emphasis on generative AI and Large Language Models (LLMs). This includes experience with tools like ChatGPT, Claude, CoPilot, Gemini, and Llama, as well as skills in fine-tuning, prompt engineering, RAG, and large-scale model training. Experience with neural network design and text classification is also relevant.
- How does Kroll approach AI ethics and governance?
- Kroll emphasizes responsible AI and high integrity in its AI deployments. The Director of AI will be a champion for ethical AI, collaborating with Infosec, Legal, Risk, Compliance, and Privacy to establish enterprise-wide AI governance. This includes defining architectural principles, operating standards, and model lifecycle management practices for transparency, accountability, and regulatory compliance.
- What is the career growth potential for the Director of AI at Kroll?
- This is described as a foundational role where the Director will shape Kroll's AI frameworks, capabilities, and culture. Success in this role offers the opportunity to significantly influence the company's technological direction and competitive advantage, leading to substantial impact and recognition within a global organization. Growth would likely involve expanding the AI function and its strategic influence.
- What is the expected background for candidates applying for the Director of AI role at Kroll?