At a Glance
- Tasks: Lead AI and data transformation projects, turning business goals into innovative solutions.
- Company: Join Deloitte, a top professional services firm shaping the future with AI.
- Benefits: Enjoy a competitive salary, hybrid work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Be at the forefront of AI innovation and make a real impact on client success.
- Qualifications: Senior Manager experience in data or AI, with strong project management skills.
The predicted salary is between 70000 - 90000 £ per year.
Lead AI and Data Architect, Senior Manager | Deloitte
The Tone
This is a full-time role at Deloitte, located in London or Manchester, United Kingdom.
Deloitte is a leading professional services firm that helps clients navigate complex business challenges with intelligent, future-proof decisions.
This role is crucial for transforming client organizations through data-driven programs, positioning them for success in an evolving marketplace fundamentally reshaped by AI.
You will be at the forefront of innovation, making a real impact with next-generation technology-enabled projects.
- The TL; DR
- Role: Full Time
- Location: Hybrid, London or Manchester, United Kingdom
- Team: Strategy, Governance and Architecture (SG&A) team within the Artificial Intelligence and Data (AI&D) offering
- Mission: Lead the architecture of complex AI and data transformation programmes, translating business objectives into scalable, secure, and deliverable solutions.
- Tech Stack: AWS, Azure, GCP, Databricks, Snowflake, Gen AI, Machine Learning
- What You'll Actually Do
- Client Understanding: Help market-leading clients understand how to leverage data and cutting-edge technologies to address their challenges, ambitions, and objectives.
- Solution
Design: Lead the definition and design of end-to-end functional and solution architectures that articulate the capabilities required to support data and analytics activities.
- Project
Leadership: Work closely with executive-level client stakeholders and cross-functional project teams to translate business vision and requirements into actionable project plans, roadmaps, and technical specifications, ensuring successful project delivery.
- Thought
Leadership: Provide thought leadership and contribute to the development of innovative technology solutions, sharing expertise and best practices with clients and colleagues, and building relationships with leading vendors.
- Team and
- Business
Development: Mentor junior team members, foster their professional development, lead effective and diverse teams, and contribute to proposals for new business opportunities.
- The Must-Haves
- Background: Senior Manager level experience in data, AI, or enterprise architecture, ideally gained in consulting or another client-facing environment.
- Experience: Significant experience shaping and delivering complex technology-enabled change, including building strong client relationships and leading architecture or technical teams.
Proven ability to develop and deliver presentations to senior stakeholders, present architecture designs to Technical Design Authorities, and conduct architectural evaluation and design for enterprise-wide systems.
• Skills
- Cloud
Platforms: Strong experience across one or more major cloud and data platforms such as AWS, Azure, GCP, Databricks, or Snowflake, including their AI/ML and generative AI services.
- Data
Architecture: Strong understanding of functional data architecture designs, including data modelling, data management, data quality, master data management, reference data, reporting, visualisation, and AI, with expertise in data solution architecture design principles and patterns.
- Governance & Security: Solid understanding of data governance, data lineage, security practices, ethical AI implementation, and regulatory compliance frameworks like GDPR.
- Project Management & Delivery: Strong project management skills, including managing timelines, scope, and delivery, with a strong understanding of agile methodologies and experience working in agile environments.
- #J-18808-Ljbffr
Senior Manager, AI and Data Architect employer: Global Finance Services
Deloitte is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London or Manchester. As a Senior Manager in AI and Data Architecture, you will not only lead transformative projects but also benefit from extensive professional development opportunities, mentorship, and a commitment to diversity within teams. With access to cutting-edge technology and a focus on meaningful impact, Deloitte empowers its employees to thrive in their careers while shaping the future of business.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, AI and Data Architect
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We think you need these skills to ace Senior Manager, AI and Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
