Data Transformation Program Manager

Poland and Central-Eastern Europe

United States

Remote

USD 150,000 - 230,000

Full time

14 days+

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Job summary

Xebia, a global AI-first, digital transformation and engineering partner, seeks an experienced delivery leader to guide complex data platform initiatives from kickoff through assessment, scoping, delivery, operationalisation and handover. You will align business and technology around data platform adoption and governance.

You will engage senior sponsors and data stakeholders, manage risks and escalation, and translate technical findings into business decisions.

Qualifications

  • 10+ years of IT/data/delivery experience with a focus on data platforms and digital transformation.
  • Senior delivery or engagement leadership experience in data transformations.
  • Proven ability to discuss operating models, data stewardship, data quality and platform adoption at delivery level.
  • Strong executive stakeholder management and ability to guide decisions in business terms.

Responsibilities

  • Leading engagement from kickoff through assessment, scoping, delivery, operationalisation and handover.
  • Driving business/tech alignment around data platform adoption and data ownership.
  • Validating readiness with sponsors, SMEs, and data owners; managing risks and escalation.
  • Serving as main interface for business sponsors, data stakeholders, program teams and tech teams.
  • Coordinating Data Architect, Platform Engineer, DQ/Analytics and knowledge roles; translating findings to business decisions.
  • Owning risks, issues, decision logs, and escalation flow.

Skills

Data platform leadership
Delivery leadership
Stakeholder management
Data governance
Data quality remediation
Data migration/adoption
Operating model
Executive communication

Job description

Xebia is a global AI-first, digital transformation, and engineering partner.With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

You will be:
  • leading the engagement from kickoff through assessment,scopedefinition, delivery,operationalisationand handover,
  • driving business and technology alignment around data platform adoption, operating model, data ownership, stewardship, dataqualityand handover,
  • validating whether the BU is genuinely ready toproceed: sponsor commitment, SME availability, data owner authority, source access, decision-making and remediation ownership,
  • acting as the main engagement interface for business sponsors, senior data stakeholders, centralprogrammeteamsand technology teams,
  • coordinating Data Architect, Platform Engineer, DQ /Analyticsand knowledge management roles. Translate technical findings into business-readable decisions,
  • owning risks, issues, decisionlogsand escalation flow. Escalating early when a local issue may affect readiness,deliveryqualityor handover,
Your profile:
  • 10+ years of experience in IT, data,platformor digital transformation delivery ,

  • at least 5 years in senior delivery,programmeleadership, engagement leadership, data practiceleadershipor pre-sales roles related to data transformation,

  • credible experience specifically with data platform, datagovernanceor data transformation initiatives -e.g.data quality remediation, master data / canonical model definition, data stewardship operating models, or migration/adoption of a modern data platform. Generic cloud infrastructure or applicationmodernisationprogrammesdo not count on their own, even when paired with governance or roadmap responsibilities,

  • able to discuss operating model, data stewardship, data quality, source ownership, lineage,integrationand platform adoption at a practical delivery level,

  • strong executive stakeholder management; comfortable working with senior business sponsors, centralprogrammeteamsand senior data / technology leaders,

  • proven ability to challenge business stakeholders constructively when readiness, ownership,scopeor data quality is weak,

  • experience with structured delivery governance: steering meetings, risk logs, decision logs, escalationpathsand formal client checkpoints,

  • strong communicator who can explain data-related risks in business language and guide stakeholders toward a decision,

  • comfortable managing ambiguity, pressure, conflictingprioritiesand multiple concurrent engagements,

  • fluent, high-impact English isrequired. Portuguese,Frenchor Spanish is an advantage depending on region.

  • Work from the European Union region and a work permit are required.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision

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