Manager - AI & Data (AI & Insights)
Role details
Job location
Tech stack
Job description
Deloitte AI & Data helps clients unlock the power of AI and data to deliver better human-centric solutions that catalyse growth and efficiencies. We enable them to leverage data, analytics, modern platforms, and data science & AI technologies to uncover hidden relationships from vast troves of data, generate insights, and inform their decision-making. We help clients transform their business by designing and implementing data solutions to excel in their markets. Our role is to understand their business problems and use data-driven thinking and technology to achieve outcomes that drive their business forward. How you can make an impact
- Lead AI and analytics engagements from discovery to production
- Design complex data & analytics transformations by providing architectural, technical and organizational thought leadership and guide clients in executing these transformations, which have significant organizational implications.
- Serve as the business-IT translator, facilitating workshops, consolidating diverse requirements into coherent solution designs, and aligning stakeholders around clear decisions.
- Manage cross-functional delivery teams (onshore/nearshore/offshore), ensuring delivery governance, quality assurance, risk management and effective communications.
- Drive Generative and Agentic AI initiatives (where relevant), including LLM-enabled solutions, prompt engineering, RAG patterns, safety guardrails and evaluation approaches aligned to client policies.
- Develop and maintain trusted client relationships through project delivery and account growth; support business development by shaping proposals, POVs and demos, and identifying new opportunities.
- Be a role model for people you work with by demonstrating strong work ethic, leadership, and subject matter competence.
- Grow expertise in different industry and subject matter areas and share your knowledge with the rest of Deloitte talent.
Requirements
Drive and Motivation:
- Passionate about building a career in consulting at the intersection of AI, analytics and business impact.
- Ownership mindset with the ability to manage multiple activities in a fast-paced environment and deliver independently and through teams.
Consulting and Communication Skills:
- Strong Microsoft Power Point and storytelling skills: Ability to design and present meaningful, executive-ready materials.
- Strong Conceptual Capability: Ability to simplify complex problems and translate them into actionable solution designs and roadmaps.
- Business-IT Translator: Proficient in requirements leadership, stakeholder alignment and facilitation of client workshops.
- Team Collaboration and Leadership: Proven ability to guide nearshore and offshore technical implementation teams, ensuring effective collaboration and project success.
- Technical Integration: Skilful in integrating system components, providing clear business explanations, and leading technical workshops.
Technical Expertise:
- Strong Engineering and/or Mathematics background.
- Solid experience with Python. Experience with R is a plus.
- Experience delivering Generative AI, AI, Machine Learning and/or Analytics solutions on one or more of the cloud services providers: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP).
- Familiarity with Large Language Models (LLMs) and adjacent services required to bring use cases to production on one or more of the cloud service providers above is highly preferred.
- Experience with data science workbench tools such as Snowflake, Databricks and Dataiku is a plus.
- Experience with Data Visualization tools such as PowerBI and Tableau is a plus.
Language Proficiency:
- Fluent in English; fluency in German and/or French is highly preferred to facilitate communication with diverse teams and stakeholders.
Industry Experience:
- At least 6 years of practical experience in consulting, tech companies, or industry-specific roles, particularly in data-driven fields.
- Previous experience in the Banking, Insurance, Life Science or Healthcare sector is advantageous.