Project Manager/ Project Lead

Role: Project Manager/ Project Lead (4 to 7 years’ experience)

Location- Orrville, OH- Locals

Duration- Long Term

Key Responsibilities

• Plan and manage testing effort for enterprise Cloud Analytics re-platform project using Agile Scrum
• Work closely with Project Manager and Program Test Lead to define and enact a test strategy, test plan and test schedule
• Provides daily communication to key project stakeholders outlining progress and updates towards key milestones
• Hosts daily calls during testing phases to review open defects/ blockers for testing
• Manage and motivate internal and external testing teams to complete assigned testing assignments
•  Internal teams comprised of business SME’s
•  External teams comprised of 3rd party tech and development resources
  
  

REQUIRED SKILLS: (Please BOLD top 3 required skills)

• 4-7 years of relevant Project Management experience in large, complex application development projects
• Familiarity with software development lifecycle
• Strong interpersonal and communication skills
• Demonstrated ability to think critically and conceptually
• Familiarity with Agile Scrum project management methodology
• Embraces a customer service mindset.
• Capable of maintaining strong relationships
• Team-management and leadership skills
• Excellent analytical and problem-solving abilities.
• Strong organizational skills
  
  

Nice To Have Skills

Consumer Packaged Goods experience a plus

Experience with Microsoft Azure Dev Ops software a plus

Describe a Day In The Life Of This Role

• Plan and prepare testing for current and future sprints
• Check in with testing team on progress through the current sprint
• Host daily call to review blockers for testing
• Assist teams in eliminating blockers/coordinate testing
• Provide status update to key stakeholders through nightly email communication
  
  

Project (ppm Number)

PROJECT STATEMENT:

Cloud Analytics Benefits are to empower speed to insights, with uncompromising performance while controlling costs. A response to change in terms of how our data is stored (on prem vs cloud) aligning with our Corporate Strategy.

Business Objective

• Need to win with superior execution through enabling new capabilities and implementing best practices across the pipeline.
• This project is a transformative to modernize the analytics tools on a cloud platform to benefit from innovations and capabilities of cloud programs.
• Efficiencies in the ETL/ELT (Extract Transform Load or Extract Load Transform) pipelines
• Reduce duplication in compute used in both data warehousing and data virtualization
• Provide availability of the data marketplace to report consumers and data scientists
• Improve the development environment for the R and python development for the data science team
• Provide visibility into lineage and pipeline health via the reporting tools
• Natural language querying