Employer description & source details
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. Stakeholder Management & Communication 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,
Extracted skills: python, sql, machine learning, sales, finance, operations, project management