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Manager - AI & Data Data Management & Data Platforms focus

Job in 4040, Basel, Kanton Basel-Landschaft, Switzerland
Listing for: Hotel du Parc
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 30000 - 80000 CHF Yearly CHF 30000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Manager - AI & Data - (Data Management & Data Platforms focus) - 100%

Manager - AI & Data - (Data Management & Data Platforms focus) - 100%

Deloitte AG Vacant since : 13.02.2026. Number of jobs : 1.

Location:

Basel, Geneva, Zurich. Work Pattern Percentage: 80-100%. By agreement. Employment duration:
Permanent.

Help our clients navigate the future with confidence and embrace decision making with clear data-driven choices.

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 the modernisation of enterprise data landscapes using next-generation cloud-based platforms and advanced data architectures to ensure high-quality, scalable, and business-aligned data solutions.
  • Design and implement end-to-end data platform strategies, including data ingestion, modelling, governance, and analytics, enabling clients to meet regulatory, operational, and growth objectives.
  • Own complex data platform transformations, guiding clients from strategic advisory through to implementation and operationalisation.
  • Leverage expertise in cloud data platforms such as Snowflake, Databricks, GCP, and Azure to deliver robust Data Vault and dimensional modelling solutions supporting enterprise reporting and analytics.
  • Manage cross-functional, geographically distributed teams, including nearshore and offshore resources, to deliver high-quality data platform solutions on time and budget.
  • Build and maintain trusted client relationships, expanding our footprint through thought leadership and proactive stakeholder engagement.
  • Translate complex business requirements into coherent, scalable data architectures that drive business value.
  • Mentor and develop junior team members, fostering a culture of continuous learning, collaboration, and excellence.
What We Are Looking For :

Drive and Motivation

Passionate individuals looking to make a career in Consulting. Experience in leading Data & Analytics teams and projects and track record of working effectively in multidisciplinary teams.

Consulting and Communication Skills
  • Proven Leadership:
    Demonstrated success in managing diverse data & analytics teams and projects, including nearshore/offshore resources, with strong project management and budget oversight capabilities.
  • Consulting Acumen:
    Ability to manage multiple concurrent projects, prioritise effectively, and engage clients through compelling presentations and clear communication.
  • Business-Technology Bridging:
    Skilled at translating complex business needs into technical data platform solutions, with a strong conceptual mindset to simplify and consolidate diverse requirements.
  • Strategic Influence:
    Ability to develop and drive data platform strategies and go-to-market approaches, influencing senior stakeholders and expanding client engagements.
Technical Expertise
  • Extensive hands‑on experience with cloud-based data platforms (Snowflake, Databricks, GCP, Azure), including data ingestion, modelling (Data Vault 2.0, Star Schema), and governance frameworks.
  • Proven track record in leading full lifecycle implementations—from vendor selection to deployment and operational support.
  • Deep understanding of data governance, master data management, and data quality practices within enterprise environments.
Language Proficiency

Fluent English with strong presentation and stakeholder management skills; additional language skills (e.g., German, French) are advantageous.

Industry Experience

Minimum 6 years in data governance, data management, data engineering, or analytics roles within consulting, technology, or industry sectors, preferably with exposure to financial services, consumer goods, or utilities.

Your team

Become part of a diverse and multinational team of…

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