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Ai Data Analytics Jobs in Colgate, WI (NOW HIRING)

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

Additional duties include leading advanced analytics projects with machine learning and AI for tasks like predictive maintenance, maintaining data quality and compliance, mentoring junior analysts ...

Generac

Data Science Analyst

Waukesha, WI · On-site

The candidate must have familiarity with the manipulation of unstructured data in a data analytics ... Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases

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All JobsAi Data Analytics JobsAi Data Analytics Jobs in Colgate, WI

Ai Data Analytics information

See Colgate, WI salary details

$24

$55

$94

How much do ai data analytics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai data analytics in Colgate, WI is $55.03, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $62.36 per hour, depending on experience, location, and employer.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What job categories do people searching Ai Data Analytics jobs in Colgate, WI look for?

The top searched job categories for Ai Data Analytics jobs in Colgate, WI are:

What cities near Colgate, WI are hiring for Ai Data Analytics jobs?

Cities near Colgate, WI with the most Ai Data Analytics job openings:

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Colgate, WI as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $114,471 per year, or $55 per hour.

Director Digital & AI Service Solutions

Generac Power Systems, Inc.

Waukesha, WI • On-site

Full-time

Posted 17 days ago

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.
For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.
Ready to Power a Smarter World with us?
The Director, Digital & AI Solutions is responsible for defining and executing the digital and AI-enabled solutions strategy across the corporate operations portfolio, including Service, Operational Excellence, and Corporate Operations. This role leads the strategy, roadmap, governance, and delivery of intelligent digital capabilities that improve operational performance, service outcomes, process standardization, productivity, scalability, and enterprise decision-making. With a strong focus on COO-level priorities, operational excellence, global scalability, customer and partner experience, and value creation, the Director drives transformation through AI-powered solutions, automation, advanced analytics, connected product and operational data, standardized workflows, and integrated enterprise platforms. The role partners closely with IT, Service, Quality, Operations, Advanced Manufacturing, Engineering, Supply Chain, Finance, and business groups to ensure digital and AI capabilities support corporate operations strategy, service transformation, continuous improvement, or productivity improvement with measurable business outcomes.
MAJOR RESPONSIBILITIES:
  • Define and execute the digital and AI strategy, roadmap, governance model, and investment priorities for the corporate operations portfolio, including Service, Operational Excellence, and Corporate Operations.
  • Lead the development and deployment of AI-powered solutions across operations functions, including automation, intelligent decision support, predictive insights, knowledge management, workflow optimization, connected-product insights, service intelligence, operational productivity, and advanced analytics.
  • Drive standardization and scalability of digital platforms, data-enabled workflows, process automation, and AI-enabled operating models.
  • Lead functional ownership and business alignment for digital capabilities supporting service operations, operational excellence, corporate operations, technical support, technical training and enterprise operations processes.
  • Translate business needs into clear digital, data, analytics, automation, and AI requirements and partner with IT, data, security, architecture, and business teams to deliver secure, scalable, well-integrated solutions.
  • Oversee digital platform integrations to ensure seamless data flow across service, operations, quality, and enterprise systems.
  • Ensure digital solutions enable intuitive, efficient workflows that improve cycle time, productivity, decision quality, quality outcomes, service performance, partner effectiveness, and employee experience.
  • Enable self-service, automation, and digital support capabilities to reduce friction, improve user experience, accelerate response time, and lower operational costs. Establish analytics, insights, and performance reporting to drive accountability, data-driven decision making, continuous improvement, adoption, and measurable business outcomes.
  • Partner cross-functionally to align priorities, governance, funding, adoption, and execution.
  • Build, lead, coach, and develop a high-performing team of managers and professionals focused on digital solutions, AI enablement, analytics, automation, platform execution, and transformation priorities.
  • Set clear objectives, performance expectations, delivery milestones, adoption measures, and development plans aligned to portfolio outcomes and enterprise value creation.

Minimum Job Requirements
Education
  • Bachelor's degree in Information Technology, Business, Engineering, Data Science, or related field, or equivalent combination of education and experience

Work Experience:
  • 10 years' experience in digital transformation, enterprise technology platforms, analytics, automation, AI-enabled solutions, operations technology, service technology, or related technology-enabled business transformation roles
  • 5 years progressive leadership experience, including experience leading managers, professionals, or cross-functional delivery teams
  • Experience with enterprise platforms and systems such as CRM, ERP, SLM, field service, customer experience, dealer, operational, supply chain, quality, or related digital business systems Experience translating business needs into technology roadmaps, functional requirements, platform capabilities, and measurable operating outcomes
  • Experience partnering across IT, Service, Quality, Operations, Operational Excellence, Supply Chain, Commercial, Finance, and business leadership teams to deliver enterprise-scale solutions

Knowledge / Skills / Abilities
  • Strategic thinker with strong business and technical acumen and the ability to connect digital, AI, data, automation, service platforms, operations technology, and enterprise capabilities to portfolio outcomes.
  • Strong attention to detail, outstanding analytical skills, and exceptional communication/interpersonal skills
  • Data-driven decision maker with the ability to establish metrics, insights, and operating rhythms that drive accountability and continuous improvement Demonstrated ability to define roadmaps, prioritize investments, and deliver scalable digital and AI-enabled capabilities across complex functions and enterprise environments
  • Strong cross-functional collaborator and influencer; able to align stakeholders across business, technology, and executive leadership teams
  • Ability to drive results in a fast-paced and constantly changing environment; comfortable handling risk, ambiguity, and uncertainty
  • Excellent decision-making skills with a customer, partner, employee, and business outcome focus
  • Global mindset; communicates effectively across a global organization Builds constructive and effective relationships across all levels of the organization Demonstrated experience leading leaders and influencing executive-level stakeholders
  • Proven executive presence with exceptional written, verbal, and presentation skills
  • Demonstrated success leading enterprise transformation and large-scale, cross-functional initiatives
  • Strong change leadership capability, including adoption planning, stakeholder communication, governance, and talent development
  • Experience with SAP or equivalent ERP systems and related enterprise data integrations.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

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