VP of AI, Data and Data Science

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Date:
Oct 29, 2026

Location:

Chicago, IL, US, 60606

Company: simsmetalm

Salary Range:  -  USD

Founded in Australia in 1917, Sims Limited (Sims) is a global leader in metal recycling and circular solutions for technology. We play a critical role in advancing circularity anddecarbonisationby supplying recycled materials and re-purposed products that help preserve our planet.

At Sims, we believe in developing our people. With a strong promote-from-within philosophy and a range of programmes that support continuous learning, we offer opportunities for meaningful, long-term careers. Employing more than 4,100 people worldwide, weoperateover 155 facilities across 13 countries. Simsprovidesthe stability, transparency, and professional growth opportunities of a publicly traded organisation, all driven by our purpose: to create a world without waste.

The Vice President, AI, Data and Data Science leads Sims Limited’s global AI, data, analytics and data-science capability. Reporting to the Chief Technology Officer and serving on the Technology Leadership Team, the role is accountable for defining the strategy, building the team and partner ecosystem, establishing the architecture and controls, and delivering solutions that improve safety, throughput, yield, quality, reliability, customer outcomes, working capital, cost and employee productivity.

The role will bring deep operational technology and industrial data-science experience. It will connect plant, yard, logistics, asset, commercial and enterprise data with advanced analytics, machine learning, generative AI, computer vision, optimization and intelligent automation. The leader will work directly with operations and business leaders to identify high-value problems, prove value quickly, industrialize successful solutions and embed new ways of working.

This is a builder role. The leader will establish an enterprise AI and agent delivery model, including reusable patterns, secure development environments, evaluation, deployment, monitoring and lifecycle management. The portfolio will include Microsoft AI capabilities, custom-built agents and applications, and fit-for-purpose use of advanced engineering tools such as Claude Code, where approved. Accountability includes outcomes, adoption, responsible use, architecture quality and sustainable support, not simply pilots or technology demonstrations.

The position will manage and expand the existing enterprise data, certified reporting and business-intelligence capability while building a broader AI, data-science, data-engineering and agent-engineering team. This leader will materially influence AI and data architecture, data quality and master-data direction. It will combine internal talent, strategic partners and specialist managed services, while retaining clear internal ownership of strategy, architecture, critical intellectual property and business outcomes.

• Partner with the CTO, Executive Leadership Team and business leaders to define and execute a global AI, data and analytics strategy aligned with Sims’ enterprise, Metals and SLS priorities.
• Create a value-led roadmap that connects operational, commercial and functional opportunities to clear business owners, investment requirements, delivery milestones, adoption plans and measurable benefits.
• Move the organization from experimentation to governed, repeatable delivery, with transparent decisions on what to build, buy, partner, scale, stop or retire.
• Provide clear, decision-ready updates to the CTO, ELT, Board and governance forums on value, delivery, risk, adoption and capability maturity.