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Data Scientist Project Manager
1 month ago
We need someone who worked on an enterprise AI/ Data analytics project in a PM role
Job title: Sr Project Manager/Project Manager III
Requirements: 8+ years' Experience running enterprise projects and change management in the field of Data science & Analytics; Strong communication and interpersonal skills; Technical expertise in data engineering, data analytics and cloud infrastructure.
NOTES FROM INTAKE CALL:
1) What hours and days will this person be working? M-F
2) What are the top 5 skills/requirements this person is required have?
a. Required Skill 1: Experience with orchestrating large multi-stakeholder data and analytics enterprise projects.
b. Required Skill 2: Familiarity with regulatory guidelines in the pharma/biotech space.
c. Required Skill 3: Exceptional verbal and written communication skills.
d. Required Skill 4: dept with data infrastructure related concepts as it relates to AI and BI solutions.
e. Required Skill 5: Experience with crafting and executing robust change management plans.
3) What years of experience, education, and/or certification is required? 8+ years of experience with PMP certification preferred.
4) What is a nice to have (but not required) regarding skills, requirements, experience, education, or certification? Prior experience in pharmaceutical development
5) What is the environment that this person will be working in (i.e. group setting vs individual role)? Matrix environment with global stakeholders
6) Is any testing required for this role? No
7) Does this position offer the ability to work remotely on a regular basis or is it an on-site role? If remote opportunity exists, what are the options (i.e. 1 day remote, 4 days on-site)? 2 days remote; 3 days on-site
8) Other notable details about the environment from the hiring manager about this role - bility to adapt and stay agile in a rapid paced highly collaborative environment.
9) What positions/background experience do you feel are successful in this role : Looking for a team player who can drive collaboration across teams; identify/manage risks and set up highly visible initiates for success