Technology Strategy & Automation Lead - Environmental Resources Management

We are seeking a commercially minded, technology and AI leader to define and execute ERM's enterprise AI strategy, driving productivity, service innovation, operational efficiency and new revenue opportunities across the business. This role will be pivotal in shaping how ERM adopts, scales and governs AI technologies, while identifying opportunities for automation, tooling, digital transformation and new AI-enabled service offerings.

Working closely with business leaders, technology teams and external partners, you will lead the identification, prioritization and delivery of AI and automation initiatives, establish the operating model and governance required for responsible AI adoption, and ensure investments deliver measurable commercial and operational value across ERM.

Key Responsibilities

Enterprise AI Adoption & Productivity: Own the scaling and adoption of enterprise AI capabilities across ERM, including AI tools, the internal micro-application marketplace, purchased and custom-built enterprise applications, and productivity technologies that automate current-state workflows, improve quality and enhance operating margin.

AI-Led Service Innovation: Reimagine ERM's client services using an AI-first mindset, identifying and developing new AI-enabled solutions, products and offerings that create differentiated client value, strengthen competitive positioning and generate new revenue streams.

AI Strategy, Governance & Operating Model: Define and lead ERM's AI strategy, operating model and governance framework, ensuring technology platforms, data, standards, controls and delivery teams are aligned to support secure, responsible and scalable AI deployment.

Opportunity Pipeline & Investment Management: Establish and manage the enterprise AI opportunity pipeline from ideation and prioritisation through business case development, investment decisions, implementation and benefits realization, ensuring resources are focused on initiatives with the greatest strategic and commercial impact.

Build vs. Buy vs. Partner Strategy: Determine the most effective solution approach for each AI and automation use case, balancing internal development, commercial solutions and strategic partnerships to optimise speed, scalability, cost and business value.

Vendor & Partner Ecosystem Leadership: Develop and manage ERM's external AI ecosystem, identifying and leveraging strategic technology partners, platforms and service providers to accelerate capability development and value delivery.

Commercialisation & Value Creation: Partner with business leaders to influence AI-enabled products, services, pricing strategies and commercial offerings that translate AI capability into measurable business growth and market differentiation.