DATA PROJECT MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: MM DD, 2024 - The Data Project Manager excels in delivering successful and innovative products, underpinned by a robust background in computer science, data science, statistics, economics, or engineering. Expertise in Agile Scrum and Kanban methodologies enhances the ability to lead agile ceremonies effectively, while a strong foundation in UX/UI design, utilizing tools like Figma, ensures the development of user-centric designs. This role requires exceptional communication and partnership skills to collaborate with both technical and non-technical team members and to navigate client interactions effectively, particularly in the life sciences or biotech sectors.

Essential Hard and Soft Skills for a Standout Data Project Manager Resume
  • Project Management
  • Data Analysis
  • Data Modeling
  • SQL
  • ETL Processes
  • Data Warehousing
  • Risk Management
  • Data Governance
  • Reporting Tools
  • Technical Documentation
  • Leadership
  • Communication
  • Problem-Solving
  • Critical Thinking
  • Adaptability
  • Time Management
  • Team Collaboration
  • Decision-Making
  • Conflict Resolution
  • Stakeholder Management

Summary of Data Project Manager Knowledge and Qualifications on Resume

1. BS in Data Science with 5 years of Experience

  • Experience planning and managing financials across multiple streams in data ingestion/consumption projects with a firm understanding of brokerage concepts and technologies.
  • Experience in spanning small projects and medium programs with high level of value (benefit/cost), and very high level of complexity/uncertainty, and a track record of successful delivery.
  • Experience in managing large, multi-year IT projects.
  • Ability to manage high visible programs/projects with third-party vendors and significant technology components along with having a strong executive presence and advanced communication, presentation, and facilitation skills.
  • Advanced knowledge of change, issue, and risk management
  • Knowledge of Software development lifecycle (SDLC) and Agile delivery methodologies/day-2-day ceremonies
  • Agile experience fostering team improvements through standard Agile processes and ceremonies.
  • Undergraduate degree (preferred) - Preferably in Business, Technology or Financial Services.
  • Project/Program Management certifications (e.g. PMP and/or PgMP).
  • Experience with Data Migration design, development, or Architecture 

2. BS in Computer Science with 3 years of Experience

  • Experience within a CRO environment.
  • Strong Data Systems experience with multiple EDC/RDBMS, such asInform, Rave, Merge, and others.
  • Excellent English communication skills, written and oral.
  • Proficient in the use of computer and software systems (Word, Excel, PowerPoint, SharePoint).
  • Excellent problem-solving, analytical, organization, and time management skills.
  • Demonstrates initiative and leadership.
  • Flexible, and works well in a team environment.
  • Demonstrates interpersonal and negotiation skills.
  • Excellent knowledge of clinical data flow and research design.
  • Experience in managing or working with data
  • Experience managing projects

3. BA in Business Analytics with 2 years of Experience

  • Experience in Product Management delivering successful and innovative products.
  • Background in Agile Scrum of Kanban best practices and leading agile ceremonies (stand-ups, sprint planning, retros, etc.).
  • Strong background in UX/UI design best practices. 
  • Experience using wireframing/prototyping tools such as Figma (we're a Figma shop), Sketch, and Adobe XD.
  • Experience in computer science, data science, statistics, economics, or engineering
  • Strong customer empathy, with an ability to transform complex data and customer insights into a prioritized roadmap.
  • Ability to work collaboratively with technical and non-technical team members, including the executive level.
  • Strong communication and partnership skills 
  • Experience in a life sciences domain or biotech.
  • Experience working with large, non-uniform, data sets
  • Experience working directly with clients and prospects to assess needs and define technical solutions
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