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Senior E2E Data Lead

  • Hybrid
    • Geneva
  • Business Intelligence & Data

Job description

We are opening an E2E Data Lead position to strengthen a team based in Geneva. The role is part of a broad end-to-end transformation initiative covering processes, systems, and data. Acting as a key link between business and technical teams, you will support the preparation of the design phase of a major data migration, with a particular focus on assessing, structuring, and preparing critical data assets for their transition to new systems.

Job Responsibilities

  • Assess key data entities in terms of structure, quality, granularity, consistency, and governance to determine their readiness for migration.

  • Compare existing data structures with target standard data models, perform gap analyses, and define appropriate fit-to-standard approaches.

  • Lead cross-functional workshops with Data Stewards to address data quality topics such as duplication, incomplete information, inconsistent values, taxonomy differences, and insufficient granularity.

  • Facilitate discussions between business and technical stakeholders, helping teams reach decisions on critical data requirements and transformation priorities.

  • Develop target data models, document key decisions, risks, and issues, and translate findings into practical remediation and migration action plans.

  • Coordinate with technical teams to validate the feasibility of proposed data transformation and migration approaches.

  • Ensure that master data governance principles, ownership models, and data lifecycles are aligned with the broader data governance framework.

  • Present recommendations and coordinate cross-functional actions and follow-ups to ensure effective preparation for the subsequent transformation phases.

Job requirements

  • Bachelor’s degree or equivalent university qualification in Business Administration, Information Systems, Computer Science, or a related discipline.

  • Significant professional experience in data-focused environments, including at least 5 years across business analysis, data management, and project management.

  • Proven experience with complex system data migrations; previous involvement in ERP data migration initiatives is highly valued.

  • Strong understanding of data modelling, data quality, governance, master data management, and fit-to-standard principles.

  • Excellent stakeholder management, facilitation, communication, analytical, and problem-solving capabilities, with the ability to build consensus across multidisciplinary teams.

  • Business analysis certification such as CCBA or CBAP, project management/methodology certification such as Agile, PRINCE2, HERMES, PMI or IPMA, and/or data governance certification would be advantageous.

  • Excellent written and spoken English is required; knowledge of French would be an advantage.

  • Previous experience within the humanitarian or non-profit sector would be considered an asset.

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Details

Hybrid
  • Geneva

What's on offer

Continous Training

Develop your knowledge and benefit from a large training catalog

25 days paid vacations (+1)

All of our employees are entitled to 25 days of paid vacation per year. And December 24th is offered

Regular social events

Monthly events to gather in small or large groups.

Great team members

Respect and kindness are key values in our workplace.

International contexts

Projects within international-scale groups.

Innovation

Contribute to impactful and innovative projects in various sectors of activity.

Little pleasures

Our employees benefit from a program of very interesting advantages and discounts.

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About us

Sword has been a leading player in Switzerland for more than 20 years in consulting and IT services, software development, infrastructure management, and quality assurance. From our offices in Geneva, Nyon, Lausanne, Fribourg, and Sion, and in collaboration with the Group's centers worldwide, our nearly 400 employees accompany large organizations, private companies, and government agencies in their technological transformations.