Activation Manager

O projekcie: The Activation Manager is the primary guardian of the end-to-end data product lifecycle within the DSO, overseeing the journey from initial intake to final certification. Acting as the first point of entry for data product teams, you will manage risk assessments, ensure rigorous classification, and validate that all necessary controls are effectively met. Wymagania: Methodological Rigor & Analysis- Framework Adherence: Ability to execute tasks within a structured methodology consistently. You recognize when a project follows a standard pattern and possess the judgment to escalate outliers to the IDE Lead.- Pattern Recognition: A sharp eye for "red flag" triggers—such as client data usage or AI integration—within complex intake documentation.Communication & Documentation- Analytical Writing: Capacity to translate technical classification logic into clear, non-jargon narratives. Every conclusion must be traceable and understandable to stakeholders outside the DSO.- Evidence Appraisal: Skilled in evaluating documentation against strict criteria. You don't just reject incomplete evidence; you provide constructive feedback on what is missing to reach compliance.Relationship Management- Multi-level Coordination: Comfortable navigating a wide range of stakeholders, from senior executive sponsors to software engineers. You know how to balance diplomacy with the need for technical clarity.- Consultative Posture: Focused on providing a "path to yes"—helping teams move faster with confidence rather than simply enforcing barriers. Codzienne zadania: - Pipeline Orchestration: Manage the full intake-to-certification workflow, ensuring every data product moves through the necessary security and compliance milestones. - Risk & Classification: Apply standardized risk-tiering methodologies to categorize data products, identifying specific triggers for specialist reviews (e.g., AI, cross-border, or commercialization). - Pattern Governance: Maintain and update the DSO pattern library, ensuring that classification artifacts are consistent and drive accurate control implementation. - Certification & Validation: Conduct post-implementation reviews of evidence (attestations, documentation) to determine if control requirements have been satisfied, providing final certification decisions based on established procedures. - Stakeholder Liaison: Serve as the strategic technical and procedural advisor for data product teams, bridging the gap between engineering and risk management.