Technology Strategy & Automation Lead

Technology Strategy & Automation Lead

Full-Time 90000 - 110000 £ / year (est.) Home office (partial)
Environmental Resources Management (ERM)

At a Glance

  • Tasks: Lead the charge in defining and executing ERM's enterprise AI strategy for innovation and efficiency.
  • Company: Join ERM, the world's largest advisory firm focused on sustainability and technology.
  • Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of an inclusive workplace that values diversity and empowers every team member.
  • Why this job: Shape the future of AI and automation while making a real impact on sustainability.
  • Qualifications: Experience in consulting, transformation, or strategic operations with a focus on AI technologies.

The predicted salary is between 90000 - 110000 £ per year.

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.
  • Organisational Mobilisation & Upskilling: Lead and coordinate AI delivery teams, including AI Forward Engineers, digital champions and service innovation teams, while driving enterprise-wide AI capability building, education and cultural adoption across client-facing and operational teams.
  • Automation & Technology Transformation: Lead discovery and assessment activities across functions to identify high-impact opportunities for automation, AI deployment, workflow optimisation and operating model improvements.
  • Adoption, Change Management & Value Realisation: Drive organisational adoption of AI solutions through structured change management, capability building and stakeholder engagement, while establishing metrics and reporting to track usage, benefits and return on investment.
  • Business Case Development & Performance Tracking: Quantify efficiency gains, revenue opportunities, quality improvements and risk reduction benefits, providing data-driven recommendations and performance insights to senior leadership.
Influence And Decision-Making Authority

Directs activities that have significant impact to the achievement of results for the sub function. Focus is on the development and implementation of short to mid term strategies (e.g., 3 years or less). May be required to negotiate and compromise to influence internal and external parties to accept concepts, practices and approaches of the job area. Requires ability to communicate with some executive leadership regarding matters of strategic importance to the organisation. Responsible for improving processes and systems by applying strong conceptual, analytical and interpretive skills. Addresses moderately complex, undefined problems that require detailed analysis and investigation. Requires management and leadership knowledge to lead teams across their team. Typically has mastery within a specific technical area. Directs a team of Managers and/or Managing Consultants. Ensures appropriate selection and organisation of talent for the area of responsibility.

Job Requirements & Capabilities
  • Qualifications: Significant experience in a senior consulting, transformation, or strategic operations role. Strong track record in identifying and delivering technology-led operational improvements in a consulting services environment.
  • Job Specific Capabilities/Skills: Demonstrated experience developing and executing enterprise AI strategies and large-scale digital transformation programmes. Strong understanding of AI technologies, machine learning, generative AI, automation platforms and enterprise productivity tooling. Experience establishing AI governance, risk management and responsible AI frameworks. Proven ability to identify and commercialise AI-enabled products, services and business opportunities. Strong financial acumen, including business case development, investment prioritisation and value realisation tracking. Experience leading multidisciplinary teams and influencing senior executives on technology and transformation priorities. Ability to balance innovation, governance and commercial outcomes within a complex global organisation.

ERM is committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to thrive. We welcome talent from all backgrounds and provide equal opportunities for every candidate. If you have a disability, are neurodivergent, or need accommodations during the selection process, we’re here to support you. Our commitment doesn’t stop at hiring. Once you join us, we’ll ensure you have the tools, support, and adjustments needed to succeed and feel a true sense of belonging.

Technology Strategy & Automation Lead employer: Environmental Resources Management (ERM)

At Environmental Resources Management (ERM), we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Based in the vibrant city of London, our team enjoys competitive benefits, opportunities for professional growth, and the chance to make a meaningful impact in the environmental sector. Join us to be part of a supportive environment where your expertise in data management will be valued and developed.

Environmental Resources Management (ERM)

Contact Details:

Environmental Resources Management (ERM) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Technology Strategy & Automation Lead

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We think you need these skills to ace Technology Strategy & Automation Lead

AI Strategy Development
Digital Transformation
AI Governance Frameworks
Machine Learning
Generative AI
Automation Platforms
Enterprise Productivity Tools

Some tips for your application 🫡

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Highlight Team Experience:Consultants often work in teams, so it's vital to showcase your collaborative skills. Include experiences where you've worked effectively with others, whether in academic group projects or internships. Discuss your role in the team and how you helped achieve common goals, demonstrating you can thrive in a consultancy environment.

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How to prepare for a job interview at Environmental Resources Management (ERM)

Master the Case Study Game

In management consulting, case study interviews are all the rage. Make sure to practice structuring your thoughts and analysing data on the fly. Use resources like example case studies to get comfortable with frameworks and solutions. Remember, it’s not just about getting the right answer but showcasing your thought process, so talk us through your reasoning!

Know Your Numbers

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As this is a full-time role, we want to see your potential as a seasoned consultant. Be ready to discuss experiences where you've led a project or a team. Think about times you've influenced decisions or navigated challenges—this is your chance to show how you can thrive in a fast-paced, collaborative environment.

Be a Cultural Fit

We’re not just looking for brains; we want to see if you vibe with our company culture at Environmental Resources Management (ERM). Prepare to share how your values align with ours. Have a think about what makes a great team environment for you and how you can contribute to that. A good cultural fit goes a long way in management consulting!