HEAD OF DATA & AI ADOPTION
TE Connectivity, Harrisburg, PA, United States
HEAD OF DATA & AI ADOPTION
Posting Start Date: 3/23/26
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
?
Job Description:
Job Overview
The Head of Data & AI Adoption is an enterprise leadership role responsible for accelerating the adoption of Data and AI capabilities across the organization. This role defines and drives the enterprise adoption strategy to ensure investments in Data & AI platforms translate into measurable business value.
The position focuses on enterprise engagement, platform adoption, organizational change, and value realization for enterprise data and AI capabilities. The role ensures that enterprise platforms, data assets, and AI solutions are effectively embedded into business processes and decision-making.
Working closely with business and segment leaders, Data Product Owners, and functional leaders, the Head of Data & AI Adoption establishes enterprise frameworks that enable scalable adoption of data and AI capabilities as part of the OneData program. The role partners closely with AI Literacy and business enablement leaders, who are responsible for business-level capability building and role-based learning.
Serving as the bridge between enterprise Data & AI strategy and organizational adoption, this leader ensures that enterprise capabilities are understood, adopted, and delivering impact across the organization.
Responsibilities:
Enterprise Adoption Strategy & Execution
Define and lead the enterprise Data & AI adoption strategy aligned with business priorities and enterprise transformation goals.
Develop and maintain the enterprise Data & AI adoption roadmap
Translate enterprise Data & AI strategy into actionable adoption frameworks
Identify barriers to adoption and implement strategies to accelerate value realization
Partner with enterprise leadership to ensure alignment between strategic priorities and adoption initiatives
Platform Adoption & Enablement
Lead enterprise adoption strategies for core data and AI platforms
Partner with platform engineering and product teams to align adoption with platform capabilities
Establish enterprise enablement frameworks that support scalable platform usage
Ensure enterprise teams can effectively leverage data and AI capabilities within business workflows
Other Key Responsibilities
Organizational Change & Enablement
Design and execute a comprehensive Organizational Change Management (OCM) strategy to support enterprise-wide OneData Adoption.
Align executive sponsorship, stakeholder engagement, and communication strategies to drive sustained behavioral change.
Establish enterprise data & AI adoption maturity frameworks and partner with business AI literacy leaders to implement domain-level capability acceleration plans.
Implement structured self-service enablement frameworks that empower business users while maintaining compliance with enterprise governance standards.
Establish continuous feedback mechanisms to evaluate adoption effectiveness and proactively address barriers.
Collaborate with Project Management lead to ensure milestones are set to drive effective organizational change management based on aligned dates.
Adoption Measurement & Value Realization
Establish clear metrics to measure and accelerate enterprise Data & AI adoption.
Define enterprise adoption KPIs and success metrics
Monitor platform usage, adoption maturity, and business value realization
Develop executive dashboards and reporting on adoption progress
Identify opportunities to scale high-impact use cases and increase adoption
Enterprise Engagement & Communications
Drive enterprise engagement to increase awareness and adoption of Data & AI capabilities.
Develop enterprise communication strategies that promote Data & AI initiatives
Lead internal storytelling and value narratives demonstrating business impact
Promote adoption through enterprise engagement campaigns and leadership communications
Amplify successful AI and data use cases across the organization, and how ways of working with evolve with the OneData program
Collaboration with AI Literacy & Business Leaders
Partner closely with business and segment leaders to ensure enterprise adoption strategies translate into domain-level adoption.
Collaborate with AI literacy leaders responsible for business-level capability development
Align enterprise adoption frameworks with role-based learning and business enablement initiatives
Support business leaders in identifying opportunities to embed Data & AI into operational processes
Ensure enterprise and business adoption efforts are aligned and mutually reinforcing
Leadership Responsibilities
Foster collaboration across enterprise data, AI, and business teams
Promote alignment between enterprise strategy and operational execution
Champion responsible, scalable use of Data & AI across the organization
What your background should look like:
Required Qualifications:
5+ years of progressive leadership experience in Data, AI, Digital Transformation, or enterprise technology environments, with demonstrated success scaling initiatives across multiple business units.
Bachelor degree in Data Science, Engineering, Business, or related field.
Proven experience leading enterprise-wide data & AI adoption, including organizational change management in complex, matrixed organizations.
Strong executive influence and stakeholder management skills, with the ability to translate strategy into measurable business outcomes.
Deep understanding of enterprise data platforms, AI lifecycle governance, responsible AI principles, and modern analytics ecosystems (e.g., cloud-based data and AI platforms such as Databricks).
Demonstrated financial acumen and experience linking technology investments to revenue growth, productivity improvement, margin expansion, or risk reduction.
Preferred Qualification:
Experience in complex, global, matrixed organizations.
Background in both strategy and operational execution.
Advanced degree in Data Science, Engineering, Business, or related field.
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
SET : Strategy, Execution, Talent (for managers)
COMPENSATION
Competitive base salary commensurate with experience: $108,800 - $163,200 (subject to change dependent 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
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity
never requests payment or fees
from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come
only from actual email addresses ending in @te.com
. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Job Locations:
Posting City: Harrisburg
Job Country: United States
Travel Required: Less than 10%
Requisition ID: 149123
Workplace Type: Remote
External Careers Page: Information Technology
TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.
Posting Start Date: 3/23/26
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
?
Job Description:
Job Overview
The Head of Data & AI Adoption is an enterprise leadership role responsible for accelerating the adoption of Data and AI capabilities across the organization. This role defines and drives the enterprise adoption strategy to ensure investments in Data & AI platforms translate into measurable business value.
The position focuses on enterprise engagement, platform adoption, organizational change, and value realization for enterprise data and AI capabilities. The role ensures that enterprise platforms, data assets, and AI solutions are effectively embedded into business processes and decision-making.
Working closely with business and segment leaders, Data Product Owners, and functional leaders, the Head of Data & AI Adoption establishes enterprise frameworks that enable scalable adoption of data and AI capabilities as part of the OneData program. The role partners closely with AI Literacy and business enablement leaders, who are responsible for business-level capability building and role-based learning.
Serving as the bridge between enterprise Data & AI strategy and organizational adoption, this leader ensures that enterprise capabilities are understood, adopted, and delivering impact across the organization.
Responsibilities:
Enterprise Adoption Strategy & Execution
Define and lead the enterprise Data & AI adoption strategy aligned with business priorities and enterprise transformation goals.
Develop and maintain the enterprise Data & AI adoption roadmap
Translate enterprise Data & AI strategy into actionable adoption frameworks
Identify barriers to adoption and implement strategies to accelerate value realization
Partner with enterprise leadership to ensure alignment between strategic priorities and adoption initiatives
Platform Adoption & Enablement
Lead enterprise adoption strategies for core data and AI platforms
Partner with platform engineering and product teams to align adoption with platform capabilities
Establish enterprise enablement frameworks that support scalable platform usage
Ensure enterprise teams can effectively leverage data and AI capabilities within business workflows
Other Key Responsibilities
Organizational Change & Enablement
Design and execute a comprehensive Organizational Change Management (OCM) strategy to support enterprise-wide OneData Adoption.
Align executive sponsorship, stakeholder engagement, and communication strategies to drive sustained behavioral change.
Establish enterprise data & AI adoption maturity frameworks and partner with business AI literacy leaders to implement domain-level capability acceleration plans.
Implement structured self-service enablement frameworks that empower business users while maintaining compliance with enterprise governance standards.
Establish continuous feedback mechanisms to evaluate adoption effectiveness and proactively address barriers.
Collaborate with Project Management lead to ensure milestones are set to drive effective organizational change management based on aligned dates.
Adoption Measurement & Value Realization
Establish clear metrics to measure and accelerate enterprise Data & AI adoption.
Define enterprise adoption KPIs and success metrics
Monitor platform usage, adoption maturity, and business value realization
Develop executive dashboards and reporting on adoption progress
Identify opportunities to scale high-impact use cases and increase adoption
Enterprise Engagement & Communications
Drive enterprise engagement to increase awareness and adoption of Data & AI capabilities.
Develop enterprise communication strategies that promote Data & AI initiatives
Lead internal storytelling and value narratives demonstrating business impact
Promote adoption through enterprise engagement campaigns and leadership communications
Amplify successful AI and data use cases across the organization, and how ways of working with evolve with the OneData program
Collaboration with AI Literacy & Business Leaders
Partner closely with business and segment leaders to ensure enterprise adoption strategies translate into domain-level adoption.
Collaborate with AI literacy leaders responsible for business-level capability development
Align enterprise adoption frameworks with role-based learning and business enablement initiatives
Support business leaders in identifying opportunities to embed Data & AI into operational processes
Ensure enterprise and business adoption efforts are aligned and mutually reinforcing
Leadership Responsibilities
Foster collaboration across enterprise data, AI, and business teams
Promote alignment between enterprise strategy and operational execution
Champion responsible, scalable use of Data & AI across the organization
What your background should look like:
Required Qualifications:
5+ years of progressive leadership experience in Data, AI, Digital Transformation, or enterprise technology environments, with demonstrated success scaling initiatives across multiple business units.
Bachelor degree in Data Science, Engineering, Business, or related field.
Proven experience leading enterprise-wide data & AI adoption, including organizational change management in complex, matrixed organizations.
Strong executive influence and stakeholder management skills, with the ability to translate strategy into measurable business outcomes.
Deep understanding of enterprise data platforms, AI lifecycle governance, responsible AI principles, and modern analytics ecosystems (e.g., cloud-based data and AI platforms such as Databricks).
Demonstrated financial acumen and experience linking technology investments to revenue growth, productivity improvement, margin expansion, or risk reduction.
Preferred Qualification:
Experience in complex, global, matrixed organizations.
Background in both strategy and operational execution.
Advanced degree in Data Science, Engineering, Business, or related field.
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
SET : Strategy, Execution, Talent (for managers)
COMPENSATION
Competitive base salary commensurate with experience: $108,800 - $163,200 (subject to change dependent 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
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity
never requests payment or fees
from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come
only from actual email addresses ending in @te.com
. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Job Locations:
Posting City: Harrisburg
Job Country: United States
Travel Required: Less than 10%
Requisition ID: 149123
Workplace Type: Remote
External Careers Page: Information Technology
TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.