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Data Project Manager
Job description
Key Responsibilities:
- Project Delivery:
Manage end-to-end delivery of data platform integration projects, ensuring scope, timeline, and quality objectives are met. - Stakeholder Engagement:
Communicate effectively with business stakeholders, technical teams, and external partners to align project goals and expectations. - Data Integration Oversight:
Coordinate the implementation of data lake and integration solutions to support CRM and client data strategies. - Business Enablement:
Work closely with marketing, CRM, and analytics teams to enable data-driven decision-making and customer engagement. - Team Coordination:
Lead and coordinate cross-functional teams across business, IT, and data functions to ensure smooth execution. - Risk & Issue Management:
Identify project risks and issues early, and implement mitigation strategies to ensure successful outcomes. - Documentation & Reporting:
Maintain clear project documentation and provide regular updates to stakeholders and leadership.
Requirements:
- Experience:
- 10+ years of project management experience, preferably in data-related initiatives.
- Hands-on experience with data lake and data integration projects.
- Exposure to CRM platforms (e.g., Salesforce, Dynamics) and marketing activation tools.
- Skills:
- Strong project planning, execution, and reporting skills.
- Excellent communication and stakeholder management abilities.
- Ability to manage multiple projects and priorities in a fast-paced environment.
- Technical Understanding:
- Familiarity with cloud data platforms (e.g., Azure, AWS), ETL processes, and data governance principles.
- Education:
- Bachelor's degree in Information Systems, Business, Computer Science, or related field.
- PMP or similar certification is a plus.
