... who can harness the power of data, analytics, and artificial intelligence to fundamentally ... Fully remote opportunity for candidates residing in: AZ, CT, FL, GA, KS, MD, MA, MI, MS, MO, NH, NC ...
... who can harness the power of data, analytics, and artificial intelligence to fundamentally ... Fully remote opportunity for candidates residing in: AZ, CT, FL, GA, KS, MD, MA, MI, MS, MO, NH, NC ...
Remote Harness Design information
See Springfield, MA salary details
$10.78 - $16.90
1% of jobs
$16.90 - $23.02
2% of jobs
$23.02 - $29.14
4% of jobs
$29.14 - $35.26
5% of jobs
$40.79 is the 25th percentile. Wages below this are outliers.
$35.26 - $41.38
14% of jobs
The median wage is $46.67 / hr.
$41.38 - $47.50
27% of jobs
$47.50 - $53.61
21% of jobs
$53.78 is the 75th percentile. Wages above this are outliers.
$53.61 - $59.73
9% of jobs
$59.73 - $65.85
2% of jobs
$65.85 - $71.97
7% of jobs
$71.97 - $78.09
6% of jobs
$10
$49
$78
How much do remote harness design jobs pay per hour?
As of Jul 31, 2026, the average hourly pay for remote harness design in Springfield, MA is $49.79, according to ZipRecruiter salary data. Most workers in this role earn between $40.72 and $57.02 per hour, depending on experience, location, and employer.
What is the difference between Remote Harness Design vs Remote Electrical Wiring Technician?
| Aspect | Remote Harness Design | Remote Electrical Wiring Technician |
|---|---|---|
| Credentials | Electrical engineering degree or equivalent, CAD software skills | Technical diploma or certification in electrical wiring, hands-on wiring experience |
| Work Environment | Design offices, CAD labs, remote collaboration | On-site wiring, installation, and troubleshooting |
| Industry Usage | Automotive, aerospace, electronics manufacturing | Manufacturing plants, maintenance, and repair facilities |
Remote Harness Design involves creating detailed electrical harness layouts using CAD tools, focusing on design and specifications. In contrast, Remote Electrical Wiring Technicians perform on-site wiring, installation, and troubleshooting. While both roles require electrical knowledge, harness designers focus on planning and documentation, whereas wiring technicians handle physical assembly and repairs.
What are the key skills and qualifications needed to thrive as a Remote Harness Design Engineer, and why are they important?
To thrive as a Remote Harness Design Engineer, you need a solid background in electrical engineering, knowledge of wiring schematics, and experience in harness layout and routing. Familiarity with CAD software such as CATIA or AutoCAD, and understanding of industry standards like IPC/WHMA-A-620 or SAE AS50881, are typically required. Strong attention to detail, problem-solving skills, and effective communication are essential soft skills for collaborating with cross-functional teams remotely. These skills and qualifications ensure accurate, reliable harness designs that meet technical requirements and facilitate smooth project execution in distributed engineering environments.
What are some common challenges faced by remote harness design engineers when collaborating with cross-functional teams?
Remote harness design engineers often work closely with electrical, mechanical, and manufacturing teams across different locations. One common challenge is ensuring clear communication and alignment on design specifications, revisions, and integration points, since face-to-face discussions are limited. Engineers typically overcome this by using collaborative design tools, regularly scheduled virtual meetings, and detailed documentation. Adapting to different time zones and project management platforms may also be necessary to maintain workflow efficiency and project timelines.
What is a Remote Harness Designer?
A Remote Harness Designer is a professional who specializes in creating electrical wiring harnesses for various types of equipment, such as vehicles or machinery, while working remotely. They use specialized design software to develop wiring diagrams, select components, and ensure the harness meets technical and safety standards. This role often involves collaborating with engineers and manufacturers, troubleshooting design issues, and ensuring the harnesses are optimized for performance and cost. Remote Harness Designers must have strong knowledge of electrical systems, CAD tools, and industry regulations.
What are popular job titles related to Remote Harness Design jobs in Springfield, MA? For Remote Harness Design jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Remote Harness Design jobs in Springfield, MA look for? The top searched job categories for Remote Harness Design jobs in Springfield, MA are:
Full-time
Re-posted 27 days ago
Baystate Health rating
6.4
Based on 141 frontline employees who took The Breakroom Quiz
639th of 885 rated healthcare providers
Job description
Baystate Health is seeking a visionary Chief Data & Artificial Intelligence Officer (CDAIO) to lead one of the most exciting transformation opportunities in healthcare.
This executive leadership role is designed for a bold, strategic leader who can harness the power of data, analytics, and artificial intelligence to fundamentally transform how healthcare is delivered, measured, and experienced. Reporting as a key member of the executive leadership team, the CDAIO will establish an enterprise-wide vision that positions Baystate Health as a national leader in data-driven, AI-enabled care.
This is more than a technology leadership position-it's an opportunity to reshape clinical decision-making, improve health equity, accelerate value-based care, modernize operations, and build a culture where trusted data and responsible AI become foundational to every strategic decision.
Fully remote opportunity for candidates residing in: AZ, CT, FL, GA, KS, MD, MA, MI, MS, MO, NH, NC, OH, PA, RI, SC, TN, TX, VT, or VA.
RESPONSIBILITIES: As Baystate Health continues its digital transformation journey, the Chief Data & Artificial Intelligence Officer will lead the next evolution of enterprise innovation by developing a scalable, modern data ecosystem and AI strategy that delivers measurable clinical, operational, and financial outcomes.
You will serve as a transformational executive who partners with physicians, operational leaders, researchers, and technology teams to unlock the full value of data across the organization while ensuring responsible governance, ethical AI deployment, and sustainable organizational change.
Success in this role requires more than technical expertise-it requires the ability to lead enterprise transformation, influence executive stakeholders, drive adoption, and create lasting cultural change.
Key Responsibilities
Enterprise Data & AI Strategy
- Develop and execute a comprehensive enterprise data and AI strategy aligned with organizational priorities
- Establish governance frameworks for data quality, stewardship, lifecycle management, and ethical AI use
- Ensure compliance with regulatory standards (HIPAA, HITECH, CMS)
AI Innovation & Deployment
- Lead the development, scaling, and adoption of AI/ML solutions across clinical, operational, and financial domains
- Identify and prioritize high-impact use cases (e.g., predictive analytics, clinical decision support, automation)
- Oversee model governance, validation, monitoring, and bias mitigation
Clinical & Operational Impact
- Partner with clinical leaders to embed analytics into workflows and improve patient outcomes
- Advance population health, risk stratification, and precision medicine initiatives
- Deliver insights that improve operational efficiency, throughput, and cost performance
Data Architecture & Technology Enablement
- Collaborate with IT to design scalable, interoperable data platforms (cloud, data lakes, warehouses)
- Ensure seamless integration across systems, including EHR platforms such as Epic
- Enable real-time data access across care settings
Research, Innovation & Partnerships
- Partner with academic and research organizations to advance clinical research and innovation
- Support grant-funded initiatives, clinical trials, and translational research
- Evaluate emerging technologies and strategic partnerships
Enterprise Leadership & Culture
- Build and lead a high-performing data, analytics, and AI organization
- Foster a culture of data literacy, innovation, and accountability
- Educate executive leadership and the Board on data and AI strategy, capabilities, and risks
Governance, Risk & Financial Stewardship
- Establish enterprise data governance and privacy frameworks
- Oversee cybersecurity alignment, risk management, and compliance
- Manage budgets, capital planning, and ROI for data and AI investments
- Lead vendor strategy, partnerships, and performance management
QUALIFICATIONS:
- Bachelors Degree, required
- 15+ years of experience in IT, data, analytics, or digital leadership within complex healthcare environments, required
- 10+ years of IT or business leadership, with at least 5 years in a senior leadership role
- Proven success leading large-scale data and AI transformations
- Deep expertise in data governance, analytics platforms, and AI/ML applications
- Strong financial and operational acumen, including capital planning and ROI realization
- Demonstrated ability to influence executive stakeholders and drive cross-functional alignment
- Executive presence with experience advising senior leadership and Boards
Education:
Bachelors Degree (Required)Certifications:
Compensation
Note: The compensation range(s) in the table below represent the base salaries for all positions at a given grade across the health system. Typically, a new hire can expect a starting salary somewhere in the lower part of the range. Actual salaries may vary by position and will be determined based on the candidate's relevant experience. No employee will be paid below the minimum of the range. Pay ranges are listed as hourly for non-exempt employees and based on assumed full time commitment for exempt employees.
Minimum - Maximum
$304,800.00 - $366,800.00Equal Employment Opportunity Employer
Baystate Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, ancestry, age, genetic information, disability, or protected veteran status.
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