TE Connectivity: AI Business Acceleration Manager

Location: Remote (Must reside within a 3-hour drive of the Harrisburg, PA metro area)
Company URL: http://te.com

Job Details

Job ID: 152378
Job Code: 30005338
Band/Level: 4
Hiring Manager: Payal Jain
Recruiter: Pete Roosendaal
Relocation: No
Travel: Less than 10%
Employee Referral Amount: $1,500.00
Education Experience: Bachelor’s Degree (High School + 4 years)
Employment Experience: 5-7 years

Job Overview

The AI Business Acceleration Manager is a hands-on AI product and enablement leader responsible for identifying and delivering high-impact AI and automation initiatives across the ACL sector. This role focuses on identifying and documenting AI use cases, developing POCs, and collaborating with the Enterprise AI Governance Council to scale practical AI solutions that improve overall operational efficiency and commercial performance.

Working closely with various BU leaders and stakeholders across manufacturing, supply chain, marketing, sales, customer care, and data teams, this individual translates business needs into AI-enabled solutions, focusing on driving measurable results through disciplined execution.

Note: The ideal candidate will reside within a 3-hour drive of the Harrisburg, PA metro area.

Key Responsibilities

AI Use Case Identification & Delivery

Identify, validate, and prioritize high-value AI and automation opportunities aligned with ACL sector priorities across CLS, IND, and PTS.
Translate business challenges into actionable AI and automation initiatives, partnering with data, tech teams, and process owners to define solutions.
Ensure solutions are scalable, practical, and embedded into existing workflows.
Build business cases and define measurable ROI and success criteria for initiatives.
Establish a demand management framework to identify and prioritize AI and advanced analytics initiatives.

AI Enablement & Adoption

Promote responsible and effective use of AI tools such as TELme, Copilot, and ChatGPT Enterprise.
Lead AI Trailblazer team meetings by demonstrating practical use cases that improve day-to-day productivity and decision-making.
Establish AI champions across various functions and support AI literacy efforts across ACL sector BUs.
Track adoption and gather feedback to improve ongoing engagement and AI usage.
Build and sustain an AI community of practice within the ACL sector to share lessons learned, tools, and best practices.

Cross-Functional Execution

Partner with functional leaders to prioritize use cases based on value and feasibility.
Coordinate with data, analytics, tech, and process teams to implement AI solutions.
Remove blockers and drive progress through structured project management.
Ensure alignment with enterprise platforms (Salesforce, SAP, Databricks, etc.).
Lead end-to-end delivery of approved AI use cases from concept through pilot and scale.

Data Readiness

Partner closely with the AI Governance Council to ensure priority use cases across ACL BUs are presented for solutioning.
Partner closely with Data & Analytics teams to ensure priority AI use cases have the data access and quality needed for execution.
Act as the business bridge, translating AI requirements into clear data needs while ensuring compliance with governance and security standards.
Identify data gaps impacting AI use case execution and support the creation of curated datasets.

Performance Measurement

Define and track KPIs for AI initiatives (revenue impact, productivity gains, cycle time reduction).
Monitor pilot performance and recommend scaling decisions.
Document lessons learned and identify reusable assets.
Stay current on emerging AI tools and technologies.

Qualifications

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree (MBA, MS, or equivalent) preferred.
6–8 years of experience in digital product management, business transformation, AI enablement, or automation.
Experience delivering AI, analytics, or workflow automation solutions in a matrixed organization.
Working knowledge of LLMs, prompt engineering, workflow automation tools, or Python scripting.
Strong understanding of enterprise data environments (Salesforce, SAP, Snowflake, Databricks, etc.).
Demonstrated ability to translate business challenges into practical digital solutions.
Strong communication and influence skills; able to inspire adoption and align senior stakeholders.

Compensation & Benefits

Base Salary: $161,200 - $241,800 (commensurate with experience; subject to change dependent on physical location).
Total Compensation: Base Salary + Incentive(s) + Benefits.
Benefits: Comprehensive package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off, and voluntary benefits.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
SET: Strategy, Execution, Talent

Important Notices

EOE: Including Disability/Vets.
Recruitment Fraud: TE Connectivity never requests payment or fees from job applicants. All legitimate job openings are posted at te.com/careers, and official communications will only come from email addresses ending in @te.com.

To apply: Click here to apply via We Work Remotely

AI Business Acceleration Manager at TE Connectivity