Snowy Hydro Limited

Enterprise Data & AI Strategy & Engagement Lead

Join Snowy Hydro in Sydney or Melbourne as Enterprise Data & AI Strategy & Engagement Lead. Drive data transformation, lead AI adoption, and manage a team to integrate data capabilities across the business. Benefit from a supportive, inclusive culture and opportunities to shape enterprise-wide data initiatives.

Snowy Hydro Limited

Company Overview

Snowy Hydro Limited

NSW, Australia

1949

Approximately 1,000-5,000 employees (source: leadiq.com). Snowy Hydro is a wholly-owned Commonwealth company with no public revenue data available for 2023 or later.

What They Do

Snowy Hydro's core technology focus is on pumped hydro-electricity, gas-fired peaking, diesel peaking, and contracted wind and solar renewables. The company operates 16 power stations and one pumping station, boasting a total generating capacity of over 5,500 MW dispatched to the National Electricity Market (source: snowyhydro.com.au). The Snowy Mountains Hydro-electric Scheme, which is a significant part of their operations, features nine hydro-electric power stations and 16 dams linked by 145 km of tunnels and 80 km of aqueducts, primarily located in Kosciuszko National Park. Additionally, Snowy Hydro manages water storage and diversion under the Snowy Water Licence for irrigation to the Murray and Murrumbidgee systems (source: wikipedia.org).

Projects & Track Record

Snowy Hydro has a rich history of notable projects, including the original Snowy Mountains Hydro-electric Scheme, which was completed in 1974 and delivered a total output of 3,740 MW from seven power stations, such as Guthega, which began operations in 1955 (source: snowyhydro.com.au). The company also operates significant gas assets, including the Colongra Power Station (667 MW, acquired in 2015), Laverton North (320 MW), and Latrobe Valley (300 MW) in Victoria, along with three diesel stations in South Australia totaling 136 MW (source: wikipedia.org). Currently, major projects include Snowy 2.0, which aims to link the Tantangara and Talbingo dams via a 27 km underground tunnel and establish a new pumped-hydro station for 2,000 MW generation and 175 hours of storage, with construction having commenced in 2019 (source: snowyhydro.com.au).

Recent Developments

In March 2018, the Australian Government acquired full ownership of Snowy Hydro by purchasing shares from New South Wales and Victoria, solidifying its status as a wholly-owned Commonwealth entity (source: snowyhydro.com.au). The construction of Snowy 2.0 is a significant advancement in the company's portfolio, marking it as a nation-building pumped-hydro project that commenced in 2019 (source: snowyhydro.com.au). Additionally, Snowy Hydro has secured contracts for over 1,000 MW from ten wind and solar projects, enhancing its renewable energy offerings (source: leadiq.com).

Working There

Snowy Hydro offers a diverse range of roles across various departments, including generation (hydro, gas, diesel operations), engineering, construction, and retail services through brands like Red Energy and Lumo Energy. The company also has opportunities in support functions such as IT, HR, and finance, with hiring occurring at their headquarters in Cooma, the Sydney office, and various project sites across New South Wales and Victoria (source: leadiq.com). The company culture emphasizes community support and has a long history of integrating a multinational workforce, with 65% of the original workforce being migrants from over 30 nations (source: nma.gov.au). While specific benefits are not detailed in available sources, the company is known for its commitment to customer service excellence through its retail brands (source: leadiq.com).


Last updated on Feb 23, 2026 | Report an issue

With a large focus on data transformation, Snowy Hydro is driving enterprise data maturity and AI adoption across the organisation. We are seeking an Enterprise Data & AI Strategy & Engagement Lead to serve as a senior leader bridging business strategy and technical execution. Operating under a hub-and-spoke data operating model, you will lead a small team to partner with business groups to integrate data capabilities, identify high-value AI use cases, lead data literacy initiatives, and manage Hub delivery priorities.

Key Responsibilities

  • Data & AI Strategy and Delivery: Develop multi-year Enterprise Data and AI strategies, roadmaps, and financial investment cases to support large-scale data and analytics enablement initiatives. Manage the function's intake and prioritisation process to balance functional delivery with federated enterprise enablement.
  • Cross-Organisational Engagement & Enablement: Lead the overarching transition and practical implementation of the federated hub-and-spoke operating model. Partner directly with business unit data representatives to embed the model, serving as the principal advocate and consultative partner for data, analytics, and AI use across all federated spoke teams.
  • Committee Leadership & Strategic Alignment: Convene and facilitate the Data & AI strategic decision-making committee to orchestrate enterprise-wide alignment, evaluate complex business problems, and track value realisation.
  • AI Use Case Identification & Adoption: Lead the identification, classification, and strategic planning of high-value AI use cases, including Machine Learning and Large Language Model developments. Establish frameworks to safely accelerate federated AI development and provide clear self-service pathways for advanced modeling tools.
  • Literacy Uplift & Change Management: Design and champion an Enterprise Data & AI Literacy Program in partnership with P&C to enable safe, independent data management. Lead targeted change management and communication channels to build compelling stories that demonstrate measurable business value to stakeholders.

About the location

This role can be based in Sydney or Melbourne.

About you

  • Operating Model Transition Experience: Demonstrated experience leading the practical transition to a hub-and-spoke data operating model within a large enterprise setting.
  • Strategic Problem Solving & Commercial Acumen: Exceptional ability to untangle complex, unstructured business challenges, link them to enterprise data initiatives, and compile comprehensive strategic proposals and financial investment cases.
  • Advanced Data & AI Comprehension: Strong foundational knowledge of advanced data concepts, technical requirements, data ecosystems, and modern AI capabilities (such as Machine Learning and LLMs).
  • Relationship-Driven Leadership: Superb communication and interpersonal skills, with a proven track record of influencing department leads, treating relationships as true partnerships, and building consensus across cross-functional teams.
  • Agile & People Management: Practical knowledge of Agile delivery methodologies to effectively guide technical and delivery resources, backed by proven experience in small team leadership.

About our workforce

Snowy Hydro has a culture of decency and inclusion, with a commitment to the health and wellbeing of our people and a supportive environment to ensure that everyone - regardless of background - feels included and can succeed.

At Snowy Hydro, we recognise that we are made stronger by the unique capabilities and qualities that each individual brings, and we believe in providing an environment that allows that uniqueness to thrive.

Snowy Hydro is proud to be an Equal Opportunity employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities.

If you are interested in applying for a role with Snowy Hydro and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an email with your request to the Snowy Hydro recruitment team at [email protected]

Apply now

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About the role

July 2, 2026

July 4, 2026

Full time

Flexible

Company

Hydropower

Snowy Hydro Limited

snowyhydro.com.au

  •  Sydney, Australia
  •  Melbourne, Australia

Senior level

UTC+10:00 – UTC+11:00