International Motors is seeking a highly strategic, analytical, and forward-thinking Executive Advisor / Executive Planner to support the CDIO and senior leadership in advancing enterprise-wide digital and AI transformation.

This role serves as a critical bridge between strategy, execution, and enterprise value realization—ensuring priorities are clearly defined, progress is measurable, and leadership is equipped with actionable, decision-ready insights. The Executive Advisor operates as a central orchestrator of strategic initiatives, elevating the quality of executive decision-making, driving cross-functional alignment, and accelerating transformation outcomes.

The ideal candidate excels at synthesizing complex business, technology, and financial inputs into clear narratives, while proactively identifying opportunities, risks, and trade-offs. This role requires a modern, AI-enabled mindset, combining strategic rigor with continuous learning, strong business acumen, and fluency in emerging technologies—including Generative AI.

Strategic Advisory & Decision Intelligence

• Partner with the CDIO and senior leadership to provide data-driven insights, scenario analysis, and strategic recommendations
• Translate complex inputs across business, technology, and finance into clear, actionable guidance for executive decision-making
• Assess enterprise-wide implications of strategic decisions, including cross-functional impacts, risks, and dependencies
• Elevate leadership focus by distinguishing critical signals from noise, enabling decision-oriented discussions

Strategic Planning, Execution & Value Realization

• Support development and refinement of enterprise strategic frameworks (e.g., OGSM, OKRs)
• Translate priorities into actionable plans with defined milestones, KPIs, and measurable business outcomes
• Define and track value realization frameworks, ensuring alignment to cost optimization, revenue growth, and quality improvement
• Drive visibility into execution performance, proactively surfacing risks, gaps, and course corrections

Digital & Enterprise AI Portfolio Leadership

• Coordinate and govern the enterprise portfolio of digital, data, and AI initiatives
• Prioritize initiatives based on business value, feasibility, and strategic alignment
• Drive transition from pilot experimentation (7Workstreams8) to scaled enterprise adoption
• Track adoption, usage, and realized impactnot just deliveryof AI and digital capabilities
• Support advancement of the Enterprise AI program, including prioritization, scaling, and impact measurement

Enterprise AI Governance & Responsible AI

• Support establishment and monitoring of AI governance frameworks, including compliance, risk, and ethical considerations
• Promote alignment with Responsible AI principles (e.g., fairness, transparency, accountability)
• Track and communicate risks across the AI lifecycle, including model bias, drift, and explainability considerations

Enterprise Data & Insights Enablement

• Promote consistency and integrity of enterprise data foundations to support trusted decision-making
• Enable a single source of truth for executive reporting, insights, and performance tracking
• Leverage modern analytics and AI capabilities to generate predictive insights and forward-looking signals

Operating Model & Change Orchestration

• Support evolution of the enterprise operating model, including AI-enabled and two-speed (core + innovation) delivery approaches
• Drive cross-functional alignment across IT, business units, and partners
• Anticipate and mitigate organizational friction, enabling sustainable adoption and change at scale
• Align leadership on priorities, sequencing, and execution discipline

Executive Governance & Communication Excellence

• Support governance forums including CIO Board, transformation reviews, and executive leadership meetings
• Develop compelling executive materials and narratives with clarity, precision, and strategic focus
• Ensure consistency across messaging for strategy, execution, and performance outcomes
• Curate executive cadence and content to ensure decision-focused, high-impact interactions

External Benchmarking & Ecosystem Engagement

• Monitor industry trends, competitor movements, and emerging technologies to inform strategy
• Incorporate best practices from leading digital and AI transformations
• Evaluate and leverage external ecosystems, including strategic partners (e.g., IBM, Microsoft, AWS) and emerging innovators
• Act as a 7market lens8 to inform CDIO and executive leadership decisions

Generative AI & Future-of-Work Enablement

• Identify and promote AI-augmented ways of working to enhance productivity and decision-making
• Support development of AI literacy and enablement initiatives across the organization
• Champion adoption of GenAI tools and capabilities within the CDIO office and beyond
• Apply AI tools to enhance analysis, synthesis, and executive insight generation

• Bachelor's degree and at least 9 years of strategic planning, business intelligence, project coordination or business analytics providing data-based strategic direction experience
• At least 2 years of lead experience

OR

• Master's degree and at least 5 years of strategic planning, business intelligence, project coordination or business analytics providing data-based strategic direction experience
• At least 2 years of lead experience

OR

• At least 12 years of strategic planning, business intelligence, project coordination or business analytics providing data-based strategic direction experience
• At least 2 years of lead experience

• Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)

• Leadership or team/initiative ownership experience
• Demonstrated experience supporting executive-level decision-making and enterprise initiatives
• Proven ability to synthesize complex data into clear, actionable insights and executive narratives
• Strong communication, influence, and stakeholder management skills across senior leadership
• Experience driving cross-functional alignment in large, complex organizations
• Working knowledge of digital transformation, data, and AI concepts
• Experience within CIO/CDIO organizations or supporting executive leadership teams
• Background in enterprise technology strategy, digital transformation, or AI initiatives
• Strong familiarity with strategic planning frameworks (OGSM, OKRs)
• Experience managing enterprise portfolios or large-scale programs
• Exposure to external partner ecosystems (e.g., IBM, Microsoft, AWS)

Generative AI & Technology Fluency

• Working knowledge of Generative AI technologies, including large language models (LLMs), copilots, and AI-assisted workflows
• Ability to evaluate GenAI use cases for business value, scalability, and risk
• Familiarity with enterprise AI platforms and ecosystems
• Strong curiosity and commitment to continuous learning on emerging technologies

Technology Ecosystem & Strategic Awareness

• Understanding of evolving AI, cloud, data, and automation ecosystems
• Ability to assess technology trends, vendor capabilities, and platform strategies
• Experience translating ecosystem insights into strategic opportunities and partnerships

Mindset & Leadership Attributes

• Highly strategic, yet execution-focused with strong attention to detail
• Results-oriented with a strong focus on business outcomes and value realization
• Proactive, intellectually curious, and comfortable operating in ambiguity
• Strong judgment, critical thinking, and ability to challenge constructively
• Commitment to continuous learning and AI-enabled ways of working

This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting https://careers.international.com/#benefits.The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience.