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For Companies At a Glance
- Tasks: Lead the design and implementation of innovative Gen AI solutions in the ER&I sector.
- Company: Join a forward-thinking team at Deloitte, driving AI transformation.
- Benefits: Enjoy flexible working, exceptional training, and career growth opportunities.
- Why this job: Shape the future of Gen AI and make a real impact in the industry.
- Qualifications: Experience in consulting or ER&I, with strong leadership and technical skills.
- Other info: Collaborate with diverse teams and contribute to cutting-edge AI projects.
The predicted salary is between 72000 - 108000 £ per year.
We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented opportunities for optimization, enhanced decision-making, and new revenue streams. A robust Gen AI strategy is crucial for realizing this potential and gaining a competitive advantage. Our team delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive.
ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE strategy. The Associate Director, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by:
- Identifying Gen AI opportunities aligned with client strategy.
- Gathering detailed requirements.
- Designing scalable Gen AI platforms & architectures.
Join Deloitte for exceptional training, growth, and a dynamic team environment. We encourage flexible working arrangements. If this opportunity interests you, please discuss it with us.
Responsibilities
- Designing Gen AI Architectures: Define end-to-end Gen AI architectures aligned with client business objectives and technology strategies.
- Advising on Gen AI Applications: Guide ER&I clients on leveraging Gen AI to address their challenges and objectives.
- Establishing Common AI Language: Foster executive-level discussions to establish a common understanding of AI/Gen AI terminology.
- Creating Gen AI Roadmaps: Develop strategic roadmaps for Gen AI capabilities to generate value from data and AI.
- Assessing Systems & Proposing Solutions: Evaluate existing systems and recommend target Gen AI architectures using AI technologies and cloud platforms.
- Leading & Mentoring Teams: Lead diverse global teams, fostering an inclusive and valued team culture.
- Managing Stakeholders & Change: Support change management processes to ensure successful Gen AI adoption.
- Developing Market Offerings: Assist in developing market-leading Gen AI solutions and proposals.
- Contributing to AI Community: Contribute to the development and growth of our AI and Data Architecture community.
- Driving Project Delivery: Drive client project delivery by owning workstreams and ensuring successful engagements.
- Developing Team Members: Develop junior team members through on-the-job training.
Qualifications
- Consulting or ER&I Experience: Client-facing project experience in consulting or direct ER&I industry roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development.
- ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.).
- Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or industry.
- Strong Problem-Solving & Analytical Skills: Excellent problem-solving and analytical skills applied to complex GenAI challenges.
- Executive Stakeholder Management: Strong executive-level stakeholder management and communication skills; ability to build robust client relationships.
- Leadership & Team Development: Proven leadership in building and developing high-performing, diverse GenAI architecture teams, nurturing junior talent.
- Designing & Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas:
- GenAI model integration & deployment.
- Prompt engineering & model customization.
- AI/GenAI governance & ethics (bias detection, explainability).
- GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse).
- GenAI ModelOps & Performance Monitoring.
- AI-driven business intelligence & reporting.
- Observability & FinOps for AI/GenAI.
- Cloud Infrastructure, Networking, & Security for AI.
Associate Director, Data Science/Gen AI Lead - ER&I employer: Deloitte LLP
Contact Detail:
Deloitte LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Director, Data Science/Gen AI Lead - ER&I
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the ER&I sector. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Gen AI projects or any relevant work you've done. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by researching the company and its Gen AI initiatives. Be ready to discuss how your experience aligns with their goals in the ER&I space. Tailor your answers to show you understand their challenges and can provide solutions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Associate Director, Data Science/Gen AI Lead - ER&I
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in Gen AI and the ER&I sector. We want to see how your skills align with our needs, so don’t hold back on showcasing relevant projects!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex challenges in Gen AI. We love seeing candidates who can think critically and come up with innovative solutions, especially in the context of ER&I.
Highlight Leadership Experience: If you've led teams or mentored others, make sure to mention it! We value strong leadership skills, especially in a collaborative environment like ours. Share specific instances where you’ve developed talent or driven project success.
Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Deloitte LLP
✨Know Your Gen AI Stuff
Make sure you brush up on the latest trends and technologies in Generative AI, especially as they relate to the Energy, Resources & Industrials sector. Be ready to discuss specific examples of how you've applied Gen AI solutions in past roles or projects.
✨Showcase Your Leadership Skills
As an Associate Director, you'll need to demonstrate your ability to lead diverse teams. Prepare examples of how you've successfully managed teams, mentored junior members, and fostered an inclusive culture. Highlight any experience you have in driving project delivery and managing stakeholders.
✨Understand Client Needs
Be prepared to discuss how you identify Gen AI opportunities that align with client strategies. Think about how you've gathered requirements in the past and how you can translate those into actionable Gen AI architectures. Show that you can think from the client's perspective.
✨Communicate Clearly
Strong communication skills are key, especially when discussing complex Gen AI concepts with executive-level stakeholders. Practice explaining technical terms in simple language and be ready to establish a common understanding of AI terminology during the interview.
