Project Management Expertise: Proven track record of managing complex data, MDM, or governance projects. Strong proficiency in Agile/Scrum methodologies and project management tools (e.g., Jira, Confluence, Smartsheet, MS Project).
Master Data & Governance: Deep understanding of master data management principles, data governance frameworks, and large-scale data quality improvement initiatives.
Impact & Business Analysis Skills: Proven ability to capture/document requirements, assess business impacts and tradeoffs, and align stakeholders through interviews, workshops, and requirements harmonization.
Technical Data Skills:
* Hands-on experience with data profiling, source system analysis, and KPI definition.
* Strong SQL & Python expertise and experience querying large, complex data sets.
* Familiarity with at least one analytics platform (e.g., Hadoop, Spark, Snowflake).
* Experience with BI tools such as Tableau, ThoughtSpot, or Business Objects.
Data Architecture & Quality: Understanding of data architecture principles, data lineage, and experience maintaining data dictionaries/definitions.
Tools & Platforms: Exposure to tools such as Collibra, Data Hub (or equivalent for governance and data quality) alongside standard PM software.
Collaboration & Communication: Ability to navigate a matrixed organization, work across time zones, drive consensus among competing priorities, and build strong stakeholder relationships.
Execution & Accountability: Strong problem-solving skills with a track record of delivering results on time and within budget in large, complex programs.
Education & Experience
5+ years of combined experience in project management and data analysis, specifically focused on data-related initiatives, MDM, or data governance.
Project Management certifications (e.g., PMP, CSM, PMI-ACP) are highly preferred.
Industry-standard certifications in data management or analytics preferred.
Deep familiarity with D&B data architecture, hierarchies, and enrichment preferred.
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