Associate Director, AI & Data - TMT
- Corporate and business unit strategy
- Commercial analysis and business case construction
- Strategy input to digital transformation or delivery programmes
- New product development and market entry analysis
- Customer and business unit strategy
- Strategic operating model design
- Mergers and acquisitions
- Working with executive level clients to understand and define strategic choices ahead of key investment decisions
- Traditional evidence-led analysis to identify market development opportunities to support client strategies
- Determining the optimum business or commercial model to effectively deliver client objectives
- Helping our clients configure effectively and develop their ability to deliver operational excellence in specific areas
- Identifying new ways of working that will stimulate innovation and growth, and lead to better decision-making
- Guiding and supporting clients through imagining, defining and delivering their digital journey to enable competitive advantage
- Independently leading multiple AI & Data engagements or large-scale programmes of work from scoping through delivery by managing engagement teams and working with Deloitte Partners and other internal teams to help clients solve their most significant strategic challenges.
- Leading on developing, building, and sustaining strong professional relationships with clients and internal stakeholders from across our Firm
- Proactively sourcing, developing and managing business development activities, effectively collaborating with others to support the building of client accounts and profitable engagements.
- Leading execution of all aspects of client engagements, including scoping, analysis, evaluation, communications, financials, risk, quality etc.
- Mastery of AI & Data tools and frameworks to solve client problems and share best practice within the team.
- Leading and mentoring junior colleagues to ensure successful project delivery, helping them to build technical as well as soft skills and coaching them to achieve their career aspirations
- Taking leadership roles in the management of the practice with our teams and being a champion for our business
- Proactively developing your own skills, seeking feedback, building knowledge, and sharing your insight with colleagues
- TMT Trends: Deep understanding of the latest trends and developments in the TMT sector, including 5G, IoT, streaming services, and digital marketing.
- Regulatory Landscape: Familiarity with relevant regulations and compliance requirements in the TMT industry.
- Industry Challenges: Knowledge of specific data-related challenges faced by TMT companies, such as customer churn, fraud detection, and personalisation.
- Strategic Thinking: Ability to align data and AI solutions with a client's overall business strategy and objectives.
- Problem-Solving: Strong problem-solving skills to identify and address complex data-related challenges in the TMT sector.
- Client Relationship Management: Excellent communication and interpersonal skills to build and maintain strong relationships with clients.
- Project Management: Experience leading and managing large-scale data and AI projects, including budgeting, resource allocation, and risk management.
- Ability to contribute to 'go-to-market' activities such as responding to RFI / RFPs and developing high-quality proposal materials.
- Experience in architecture related disciplines.
- Experience in implementing cloud-based AI/ML workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock, Sagemaker, Dataiku, Databricks, Snowflake, Data Robot.
- Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging; serverless technologies, container / Kubernetes based deployments, GPU compute infrastructure.
- Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging; serverless technologies, container / Kubernetes based deployments, GPU compute infrastructure.
- Experience in working within an architecture function and presenting architectural designs to a variety of stakeholders (incl. Technical Design Authorities or Architecture Boards).
- Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning, Retrieval Augmented Generation techniques and Context embedding, Vector database technologies and Semantic Search techniques & tools.
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