AI Business Acceleration Manager (Remote - Harrisburg, PA area) Job ID: 152378 Job Code: 30005338 ... Python scripting. • Strong understanding of enterprise data environments (Salesforce, SAP ...
AI Business Acceleration Manager (Remote - Harrisburg, PA area) Job ID: 152378 Job Code: 30005338 ... Python scripting. • Strong understanding of enterprise data environments (Salesforce, SAP ...
Financial Data Analyst
Lititz, PA · On-site +1
$65K - $75K/yr
Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ... Proficiency in Python, Power Automate, and Excel VBA (nice to have) * Experience leveraging AI ...
Financial Data Analyst
Lititz, PA · On-site +1
$65K - $75K/yr
Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ... Proficiency in Python, Power Automate, and Excel VBA (nice to have) * Experience leveraging AI ...
Remote Python Ai information
See Lebanon, PA salary details
$12.99 - $19.52
1% of jobs
$19.52 - $26.05
0% of jobs
$26.05 - $32.58
2% of jobs
$32.58 - $39.11
5% of jobs
$39.11 - $45.63
11% of jobs
$47.55 is the 25th percentile. Wages below this are outliers.
$45.63 - $52.16
18% of jobs
The median wage is $55.57 / hr.
$52.16 - $58.69
24% of jobs
$63.68 is the 75th percentile. Wages above this are outliers.
$58.69 - $65.22
18% of jobs
$65.22 - $71.75
13% of jobs
$71.75 - $78.28
5% of jobs
$78.28 - $84.81
3% of jobs
$12
$57
$84
How much do remote python ai jobs pay per hour?
As of Jun 7, 2026, the average hourly pay for remote python ai in Lebanon, PA is $57.61, according to ZipRecruiter salary data. Most workers in this role earn between $47.50 and $65.43 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Remote Python AI Developer, and why are they important?
To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.
What are Remote Python AI jobs?
Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.
What is the difference between Remote Python Ai vs Data Scientist?
| Aspect | Remote Python Ai | Data Scientist |
|---|---|---|
| Required Credentials | Python programming, AI/ML knowledge, possibly certifications in AI or data analysis | Statistics, programming, data analysis, often a master's degree or higher |
| Work Environment | Remote, tech companies, AI-focused teams | Remote or on-site, diverse industries including tech, finance, healthcare |
| Employer & Industry Usage | Tech startups, AI firms, software companies | Various sectors like finance, healthcare, marketing, tech |
| Search & Comparison Intent | Focus on AI development using Python | Data analysis, insights, statistical modeling |
Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.
How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?
In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.
What cities near Lebanon, PA are hiring for Remote Python Ai jobs? Cities near Lebanon, PA with the most Remote Python Ai job openings:
AI Business Acceleration Manager (Remote - Harrisburg, PA area)
TE ConnectivityMiddletown, PA • On-site, Remote
Full-time
Medical, Life, Retirement, PTO
Posted 24 days ago
TE Connectivity rating
7.3
Based on 64 frontline employees who took The Breakroom Quiz
87th of 139 rated electronics manufacturers
Job description
5/12/26
Job Posting Title: AI Business Acceleration Manager (Remote - Harrisburg, PA area)
Job ID: 152378
Job Code: 30005338
Business Unit: ((businessUnit))
Building: TYCO ELECTRONICS 3101 FMR (128)
Band/Level: 4
Hiring Manager: Payal Jain
Recruiter: Pete Roosendaal
Relocation: No
Travel: Less than 10%
Employee Referral Amount: $1,500.00
Education Experience: Bachelors Degree (High School +4 years)
Employment Experience: 5-7 years
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 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.
***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, as needed, 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 BU's 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.
What your background should look like:
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 BU's.
Join our team and play a pivotal role in transforming how TE Connectivity's ACL Sector leverages AI and automation to drive growth, efficiency, and customer impact. If you're passionate about building innovative AI solutions, raising the bar on digital capability, and shaping the future of how our teams work, we'd love to hear from you!
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
SET : Strategy, Execution, Talent (for managers)
COMPENSATION
• Competitive base salary commensurate with experience: $161,200 - $241,800 (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:
United States
Posting City: MIDDLETOWN
Job Country: United States
Travel Required: Less than 10%
Requisition ID: 152378
Workplace Type: Remote
External Careers Page:
Job Posting Title: AI Business Acceleration Manager (Remote - Harrisburg, PA area)
Job ID: 152378
Job Code: 30005338
Business Unit: ((businessUnit))
Building: TYCO ELECTRONICS 3101 FMR (128)
Band/Level: 4
Hiring Manager: Payal Jain
Recruiter: Pete Roosendaal
Relocation: No
Travel: Less than 10%
Employee Referral Amount: $1,500.00
Education Experience: Bachelors Degree (High School +4 years)
Employment Experience: 5-7 years
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 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.
***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, as needed, 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 BU's 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.
What your background should look like:
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 BU's.
Join our team and play a pivotal role in transforming how TE Connectivity's ACL Sector leverages AI and automation to drive growth, efficiency, and customer impact. If you're passionate about building innovative AI solutions, raising the bar on digital capability, and shaping the future of how our teams work, we'd love to hear from you!
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
SET : Strategy, Execution, Talent (for managers)
COMPENSATION
• Competitive base salary commensurate with experience: $161,200 - $241,800 (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:
United States
Posting City: MIDDLETOWN
Job Country: United States
Travel Required: Less than 10%
Requisition ID: 152378
Workplace Type: Remote
External Careers Page:
What TE Connectivity employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About TE Connectivity
Sourced by ZipRecruiter
Industry
Engineering professional services
Company size
10,000+ Employees
Headquarters location
Berwyn, PA, US