AI Business Acceleration Manager (Remote - Harrisburg, PA area)

AI Business Acceleration Manager (Remote - Harrisburg, PA area) 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, the manager translates business needs into AI‑enabled solutions, focusing on driving measurable results through disciplined execution. 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 and establish AI champions across various functions. 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 to enable AI use cases 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 existing governance and security standards. Identify data gaps impacting AI use case execution. Support creation of curated datasets required for specific AI initiatives. 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. Success Metrics Successful delivery of prioritized AI use cases within agreed timelines. Measurable business value generated (efficiency, revenue enablement, cost reduction). Adoption rate of deployed AI tools within supported functions. Reusability of developed AI assets across teams. Increased AI literacy within supported business units. Demonstrated an AI‑first mindset and proactive experimentation within ACL BUs. Compensation Competitive base salary commensurate with experience: $161,200 - $241,800 (subject to change depending on physical location). Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity. Total Compensation = Base Salary + Incentive(s) + Benefits. Benefits A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits. EOE, Including Disability/Vets TE Connectivity is an Equal Opportunity Employer. Hiring is based on qualifications and merit without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, veteran, or disability status. All legitimate job openings are posted only on the official TE Connectivity careers website at te.com/careers. #J-18808-Ljbffr TE Connectivity