Corporate Director of Artificial Intelligence | PAM Health Corporate

Overview

The AI leader is the senior most leadership role responsible for the strategic pursuit of AI innovation and value creation in the enterprise. It is a transformative role that merges business acumen, strategic insight, innovation, and technological expertise to realize the full potential of AI beyond including and beyond automation and productivity improvement. The role is focused on driving AI transformation, improving enterprise AI literacy, creating AI strategies and evolving AI capabilities, implementing participative operating models, and codifying governance practices that reduce risk and increase differentiating business value.

Responsibilities

POSITION RESPONSIBILITIES:

• Accelerates AI-driven innovation and transformation by building and maintaining a vision for how AI will drive value aligned with strategic objectives by working with board members, the CEO, the chief strategy officer, the CIO, the chief marketing officer (CMO), and other C-level executives.
• Fosters collaboration and bridges departmental gaps to develop cross-organizational and functional alignment in accordance with the enterprise AI vision. Establishes an internal and external AI ecosystem, building working relationships with vendors, partners, research institutes, regulators, industry associations, and other external stakeholders.
• Establishes a world-class AI strategy and organization that aligns with the company’s overarching enterprise vision, including goal setting and measuring AI initiatives.
• Defines the operating model and delivery capabilities to engineer and operationalize AI initiatives, overseeing the development and execution of advanced AI products and solutions, ensuring their scalable and seamless integration across the organization.
• Chairs the AI governance board. Evolves responsible AI policies and governance programs to address AI’s unique regulatory and compliance requirements — especially data usage, model explainability, fairness, and privacy — while ensuring appropriate audit controls and adherence to ethical mandates. Establishes effective collaboration between security, risk, compliance, legal, ethics, safety, and other stakeholders to rapidly adapt practices as necessary.
• Manages the AI portfolio and budget for AI initiatives, overseeing the allocation of resources for both current AI portfolios and long-term AI foundational capabilities. Establishes transparent AI portfolio evaluation and management practices to estimate, measure, and foster accountability for business value and ROI of AI initiatives.
• Fosters and cultivates AI literacy across the enterprise, leading transformation efforts and developing change management programs.
• Leads the strategy and creation of heuristics for build, buy, and blend decisions. Stewards AI architectures and the selection of AI platforms and technologies.

BUSINESS KNOWLEDGE AND SKILLS:  The AI Leader understands business objectives and goals; has industry domain expertise and knowledge of AI concepts, methods, and techniques; and exhibits exceptional interpersonal and leadership skills, including:

• Business and financial acumen: Understand business concepts, practices, and business-domain language deeply enough to engage in problem-solving sessions and discuss business issues in stakeholder language. Align AI initiatives with the organization's overarching vision, strategic goals, current market circumstances, and competitor activities. This includes understanding how AI will impact business objectives beyond financial metrics.
• AI-driven business transformation: Understand how decision intelligence, agentic AI, and other AI practices/approaches/application areas can transform decision making and work practices. Articulate AI's transformative impact on current and future business objectives, including its potential to drive new business models, regenerate existing workflows, optimize operations, and deliver measurable value based on key performance indicators (KPIs).
• AI industry knowledge: Leverage a comprehensive understanding of industry dynamics and the organization's core mission to pinpoint where AI can yield the most significant impact and competitive advantage, while also identifying relevant business risks and opportunities, including how AI can disrupt or extend existing business models.
• Communication and influence: Bridge communication gaps and foster cross-functional synergy to align AI initiatives seamlessly across diverse business units and functions, ensuring maximum value realization, minimizing conflicting implementations, and effectively communicating complex AI topics to various stakeholders.
• Regulatory and compliance: Familiar with regulatory requirements and relevan