PROJECT MANAGER IV
TE Connectivity (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 19h ago
Reach people at TE Connectivity
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at TE Connectivity you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own end-to-end delivery of strategic analytics projects focused on Sales and Finance functions within AD&M Analytics & AI CoE.
- Manage project portfolios, facilitate Agile delivery, coordinate cross-functional teams, and ensure alignment with business priorities.
- Serve as primary business partner and advisor to stakeholders, maintaining relationships from individual contributors to senior executives and driving business-impact analytics investments.
Minimum Requirements
- 10+ years overall experience in delivery or client-facing project management roles related to analytics consulting.
- 5+ years hands-on experience delivering Analytics/AI projects in sales and finance functions.
- Experience with sales processes/data (e.g., Sales Operations, CRM, leads, booking, billing, forecasting).
- Ability to collaborate with global stakeholders across multiple time zones, preferably including Eastern US; PMP, Agile or equivalent certification preferred.
Ideal Candidate Profile
- Experienced leader managing high-value analytics initiatives end-to-end with measurable ROI focus.
- Skilled at stakeholder engagement across organizational levels including senior leadership for alignment and decision-making.
- Proficient in Agile project management within global, cross-functional analytics environments involving data engineers and BI developers.