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Hanwha Convergence

O&M Field Technician II

Salome, AZ · On-site

$26 - $35/hr

Hanwha Convergence USA is a leading provider of O&M Servies for Solar and Energy Storage Systems, leveraging our industry-leading IT and engineering capabilities. In addition, we are a trusted smart ...

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Convergence information

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$5

$32

$74

How much do convergence jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for convergence in the United States is $32.36, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $55.53 per hour, depending on experience, location, and employer.

What are convergence jobs?

Convergence jobs refer to roles that blend skills, technologies, or industries to create new opportunities and innovations. These positions often arise at the intersection of fields such as technology, media, telecommunications, healthcare, and more. Professionals in convergence jobs typically need to be adaptable, possess multidisciplinary expertise, and be comfortable navigating evolving landscapes. Examples include roles in digital transformation, data science, IoT integration, and smart technology development. The demand for convergence jobs is growing as industries increasingly overlap and collaborate.

What is the difference between Convergence vs Network Engineer?

AspectConvergenceNetwork Engineer
CertificationsCCNA, CCNP, Cisco certificationsCCNA, CCNP, Cisco certifications
Work EnvironmentIT infrastructure, data centers, enterprise networksNetwork design, implementation, troubleshooting
Industry UsageTelecommunications, enterprise IT, data centersTelecommunications, enterprise IT, service providers

Convergence focuses on integrating multiple communication services over a single network infrastructure, often involving network design and data flow optimization. Network Engineers primarily design, implement, and troubleshoot network systems. While both roles require similar certifications and work in related environments, Convergence specialists focus on service integration, whereas Network Engineers focus on network infrastructure management.

What are some common challenges faced by professionals working in Convergence roles, and how can they effectively address them?

Professionals in Convergence roles, which typically involve integrating disparate technologies, data, or business functions, often face challenges related to cross-disciplinary collaboration and aligning objectives between teams. Navigating different communication styles and technical vocabularies can be difficult, so strong interpersonal and problem-solving skills are essential. To be effective, it's important to foster open communication, stay adaptable to evolving priorities, and continuously update technical knowledge. Building relationships across departments and proactively seeking feedback can also help smooth the integration process and drive successful outcomes.

What are the key skills and qualifications needed to thrive as a Convergence Analyst, and why are they important?

To thrive as a Convergence Analyst, you need strong analytical skills, a background in data science or information technology, and typically a relevant degree such as computer science or engineering. Familiarity with data integration tools, analytics platforms, and enterprise resource planning (ERP) systems is important. Excellent problem-solving, collaboration, and communication skills help in translating complex technical findings into actionable business strategies. These skills are crucial for successfully merging disparate data sources to drive informed decision-making and organizational efficiency.
More about Convergence jobs
What cities are hiring for Convergence jobs? Cities with the most Convergence job openings:
What states have the most Convergence jobs? States with the most job openings for Convergence jobs include:
What job categories do people searching Convergence jobs look for? The top searched job categories for Convergence jobs are:
Convergence jobs near you
Infographic showing various Convergence job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $67,313 per year, or $32.4 per hour.
Principal Data Scientist, Data and AI Convergence

Principal Data Scientist, Data and AI Convergence

AbbVie

North Chicago, IL • On-site

$141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Key responsibilities

  • Lead the identification and assessment of enterprise-level gaps in data convergence, analytical capabilities, and AI/ML integration across R&D workflows, and design strategies to address systemic challenges through scalable solutions.

  • Oversee the development of sophisticated, production-grade AI/ML workflow orchestrations that integrate multiple data sources, analytical techniques, and decision support capabilities into cohesive enterprise solutions.

  • Serve as the technical leader for cross-functional initiatives requiring advanced data convergence and AI/ML integration across multiple therapeutic areas and R&D functions.

AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

13th of 73 rated pharmaceutical

Job description

Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
The Principal Data Scientist will serve as a strategic leader and technical expert driving enterprise-level transformation through the convergence of R&D data assets and the systematic integration of advanced AI/ML capabilities into organizational workflows. This role will work with cross-functional teams to define and architect scalable solutions that fundamentally transform how AbbVie leverages data and artificial intelligence to enhance strategic decision-making processes across the R&D pipeline and clinical development continuum.
• Acting as a key member of the R&D Convergence Core team, this position will identify systemic gaps in data convergence and workflow integration, then lead collaborative efforts to design and implement enterprise-wide solutions that create sustainable organizational capabilities rather than isolated point solutions. The Senior Principal Data Scientist will work at the intersection of scientific strategy, advanced analytics, and organizational transformation to establish integrated frameworks that enable scalable AI/ML adoption across therapeutic areas and functional domains.
• This role requires demonstrated expertise in translating cutting-edge AI technologies -including advanced machine learning, deep learning, and generative AI - into production-ready workflow integrations that drive measurable improvements in R&D innovation and efficiency, clinical trial optimization, and strategic portfolio decision-making processes. The position demands a proven track record of leading enterprise-scale data and AI initiatives that achieve cross-functional adoption and deliver sustained organizational impact
Responsibilities:
Enterprise Strategy & Workflow Transformation
  • Lead the identification and assessment of enterprise-level gaps in data convergence, analytical capabilities, and AI/ML integration across R&D workflows; design comprehensive strategies to address systemic challenges through scalable, integrated solutions
  • Architect and champion collaborative cross-functional frameworks that enable the systematic integration of advanced AI/ML capabilities into existing R&D and clinical workflows, ensuring solutions are extensible, maintainable, and aligned with enterprise data strategies.
  • Drive organizational transformation initiatives that fundamentally enhance how data and AI inform strategic decision-making across the R&D portfolio, therapeutic development, and clinical trial execution
  • Establish and evangelize best practices, standards, and governance frameworks for enterprise-wide AI/ML workflow integration that ensure consistency, quality, and regulatory compliance

Advanced AI/ML Solution Architecture
  • Oversee the development of sophisticated, production-grade AI/ML workflow orchestrations that integrate multiple data sources, analytical techniques, and decision support capabilities into cohesive enterprise solutions
  • Lead the collaborative application of state-of-the-art AI technologies including advanced machine learning, deep learning architectures, natural language processing, and generative AI to transform complex R&D and clinical development processes
  • Architect end-to-end analytical pipelines that seamlessly connect data ingestion, feature engineering, model training, deployment, monitoring, and continuous improvement within enterprise platforms.
  • Drive innovation in workflow automation and intelligent process optimization, leveraging AI/ML to reduce cycle times, enhance quality, and improve decision accuracy across the R&D continuum

Cross-Functional Leadership & Collaboration
  • Serve as the technical leader for high-impact, cross-functional initiatives requiring advanced data convergence and AI/ML integration across multiple therapeutic areas and R&D functions
  • Partner with senior leadership across R&D, IT, Data Science, and business functions to align workflow transformation initiatives with strategic priorities and ensure executive-level buy-in
  • Represent R&D in enterprise-wide forums and decision-making bodies related to data strategy, AI governance, and technology architecture, advocating for solutions that balance innovation with scalability and compliance

Organizational Capability Building
  • Oversee development of reusable, modular AI/ML components and workflow templates that can be rapidly adapted across different therapeutic areas and functional domains
  • Collaborate with Data Engineering, MLOps, and IT teams to establish robust infrastructure and platforms that support the scalable deployment and operation of integrated AI/ML workflows
  • Establish metrics and monitoring frameworks to continuously assess the impact of AI/ML workflow integrations on R&D efficiency, decision quality, and strategic outcomes

Technical Excellence & Innovation
  • Maintain deep expertise in the latest advances in artificial intelligence, machine learning, and analytical methodologies; evaluate emerging technologies for their potential to drive enterprise-wide workflow transformation
  • Ensure all AI/ML solutions adhere to regulatory requirements, data governance policies, ethical AI principles, and AbbVie quality standards
  • Design solutions with security, privacy, auditability, and explainability considerations embedded from inception, particularly for regulated clinical and healthcare applications
  • Translate complex technical architectures and AI/ML methodologies into clear strategic narratives for diverse stakeholders, from technical teams to executive leadership

Qualifications
  • PhD in Computer Science, Statistics, Bioinformatics, Computational Biology, Applied Mathematics, Data Science, or related quantitative field strongly preferred; Master's degree with exceptional demonstrated expertise and extensive experience considered
  • 4-5+ years of progressive experience building, deploying, and scaling advanced AI/ML solutions in enterprise environments, with demonstrated leadership of large-scale, cross-functional data and analytics initiatives.
  • Proven track record of leading enterprise-wide workflow projects that resulted in measurable organizational impact and sustainable capability development
  • Minimum 5+ years of experience working in highly matrixed, complex organizational environments (Preferred experience in Consulting across pharmaceutical, biotech, healthcare, or similarly regulated industries strongly preferred)

Technical Expertise
  • Expert-level proficiency in advanced machine learning and artificial intelligence, including deep learning, neural network architectures, ensemble methods, transfer learning, and generative AI technologies
  • Demonstrated mastery of ML/AI frameworks and platforms (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face) and their application to complex, real-world problems
  • Advanced programming capabilities in Python and R, with strong software engineering principles; experience with production code development, version control, CI/CD pipelines, and testing frameworks
  • Deep understanding of MLOps principles, model lifecycle management, workflow orchestration tools (e.g., Airflow, Kubeflow, MLflow), and enterprise deployment architectures
  • Experience with cloud computing platforms (AWS, Azure, others) and distributed computing frameworks for large-scale data processing and model training
  • Strong expertise in data architecture, data integration patterns, and modern data platforms supporting enterprise analytics

Strategic & Leadership Capabilities
  • Demonstrated success leading enterprise-scale initiatives that transform organizational workflows and decision-making processes through data and AI integration
  • Proven ability to influence senior leadership, build cross-functional coalitions, and drive adoption of complex technical solutions across large, matrixed organizations
  • Strong change management acumen and experience driving organizational transformation in regulated environments
  • Track record of successful collaboration with multidisciplinary teams including data scientists, software engineers, clinicians, scientists, and business stakeholders

Domain Knowledge
  • Experience in pharmaceutical R&D, clinical development, or healthcare analytics strongly preferred
  • Understanding of regulatory requirements, clinical trial design, drug development lifecycle, and healthcare data governance preferred
  • Working knowledge of healthcare data standards (e.g., CDISC, OMOP) and FAIR data frameworks preferred

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013

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