Technical Project Manager, Commercial Integrations
- Own project plans, timelines, risk registers, and status reporting for all active integration workstreams; escalate blockers and business decisions proactively.
- Maintain integration documentation, decision logs, and handover notes that enable teams to own the output once integration is complete.
- Coordinate across Legal, IT, Finance, Sales, Marketing, and Revenue Operations to gather requirements, identify dependencies and handoffs, secure milestone sign-off, and manage competing priorities.
- Translate complex data processes into clear, accessible language for non-technical stakeholders at all seniority levels.
- Lead post-acquisition data integration workstreams: discovery, profiling, schema mapping, matching, cleansing, and migration from acquired entities into QIMA systems.
- Define integration plans with clear milestones, dependencies, and acceptance criteria; identify data quality or process issues early and drive well communicated remediations.
- Validate data integrity across source and target systems at each stage; facilitate knowledge-extraction with acquired company experts before systems are decommissioned.
- Build or coordinate data pipelines and ETL processes; apply AI and machine learning tooling to accelerate data ingestion, deduplication, and anomaly detection.
- Design automated quality checks that reduce manual validation effort without compromising accuracy.
- Apply MDM principles to align acquired data with QIMA master data standards; define ownership, stewardship rules, and lineage documentation for integrated datasets.
- Navigate data protection and privacy requirements throughout integration, ensuring GDPR compliance while preserving data usability for analytics and AI applications.
- 5-7 years in technical project management, including data integration or data engineering, with proven track record delivering complex, multi-stakeholder projects.
- Hands-on experience with schema mapping, data matching and deduplication, ETL design, and data quality validation.
- Working knowledge of SQL; Python or comparable scripting for data processing and automation.
- Understanding of MDM concepts (data domains, golden records, ownership, lineage) and PII regulations (GDPR and equivalent), including the practical balance between compliance and AI usability.
- Experience managing project workstreams across multiple concurrent stakeholder groups spanning commercial and technical functions.
- Exceptional English-language communication skills with proven ability to communicate technical concepts to non-technical audiences in writing and in meetings.
- Bonus: post-merger integration experience, including direct exposure to CRM, marketing automation, or ERP systems in a data integration capacity
- Bonus: project management certification (PMP, Prince2, or Agile/Scrum).
- Clear Communicator: You can make a data mapping discussion accessible to a CFO and credible to a data engineer, and you know which version to use in which room.
- Disciplined with Detail: Integration work lives and dies in the detail. You catch discrepancies before they reach production and document decisions so they are not repeated.
- Technically Grounded, Commercially Aware: You understand data architecture and frame technical work in terms of the outcomes it enables.
- Comfortable with Ambiguity: Acquired data is rarely clean and processes are rarely documented. You impose structure and clarity without being rigid.
- Collaborative by Default: You coordinate large, cross-functional groups without a reporting line through preparation, clarity, and trust.
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