IT Project Manager – Enterprise Data & Compliance

Interval•Berlin, IL

8d•Hybrid

About The Position

We are seeking a delivery-focused IT Project Manager with experience in enterprise data frameworks to lead a critical initiative for a leading global enterprise technology company. In this role, the IT Project Manager will oversee the end-to-end delivery, project governance, and stakeholder alignment for robust data testing and compliance strategies. This is a remote position. Full-time contract position (1 FTE) offering a daily rate. Language Requirements: English is the only mandatory language requirement, German language skills are preferred. Remote, with only occasional onsite visits to Baden-Württemberg, Germany.

Requirements

Proven track record in IT Project Management within large-scale, complex enterprise environments.
Direct experience overseeing enterprise data lifecycles, data provisioning strategies, or test environment data management.
Deep understanding of data privacy frameworks, GDPR compliance, and data masking/anonymization techniques.
Experience navigating IT infrastructure, environment orchestration, and evaluating technical tools or software solutions.
Excellent communication and stakeholder management skills, with full professional proficiency in English.
Eligibility: Residency in Germany is mandatory.

Nice To Haves

Professional proficiency or conversational skills in German.
Experience designing standardized technical blueprints, data catalogs, and governance templates.

Responsibilities

Lead the end-to-end delivery of complex IT projects, managing governance, Proof of Concepts (PoCs), and alignment with enterprise-level stakeholders.
Oversee the full data provisioning lifecycle for enterprise applications, including the definition of complex data strategies and the creation of comprehensive data catalogs.
Ensure strict adherence to data privacy regulations and compliance standards (such as GDPR) by implementing robust masking, anonymization, and audit access models.
Partner with technical teams to evaluate IT architecture, infrastructure setups (cloud and hybrid), and orchestrate efficient, secure test environments.
Conduct comprehensive tool evaluations and fit-gap analyses to recommend and implement optimal software solutions for data lifecycle management.
Align data management initiatives with broader testing processes, managing demand-based scope across regression testing, UAT, and DevOps pipelines.
Drive the standardisation of technical documentation, establishing blueprints, taxonomies, and templates for long-term scalability.