1

Contract Ai Implementation Jobs in Wisconsin (NOW HIRING)

... implementations. The Application Consultant role is project driven and supports a wide array of ... Salary: 65K - 85K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

... implementations. The Application Consultant role is project driven and supports a wide array of ... Salary: 65K - 85K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

... for a contract position. This role focuses on backend development, system integration, and ... Please contact AI.Questions@lrs.com with any questions.

Project Manager

Brookfield, WI · Hybrid

$45 - $55/hr

... a contract position. This role will oversee the delivery of software development and testing ... Monitor project progress, identify risks, and implement solutions proactively. Prepare and deliver ...

New

Showing results 21-40

Contract Ai Implementation information

What is the difference between Contract Ai Implementation vs Data Scientist?

AspectContract Ai ImplementationData Scientist
Required CredentialsTypically requires AI/ML certifications, programming skills, and project management experienceRequires degrees in data science, statistics, or related fields, often with advanced degrees
Work EnvironmentProject-based, client-focused, often freelance or consulting rolesFull-time or research roles within organizations or academia
Industry UsageUsed across various industries for specific AI projectsApplied in data analysis, research, and model development within organizations

Contract Ai Implementation professionals focus on delivering AI solutions on a project basis, often working with clients and requiring specific certifications. Data Scientists typically work within organizations, conducting research and developing models, often with advanced degrees. Both roles overlap in technical skills but differ in work setting and scope.

What is a contract AI implementation specialist?

A Contract AI Implementation specialist is a professional who helps organizations integrate artificial intelligence solutions into their contract management processes. This role involves assessing business needs, selecting appropriate AI technologies, and overseeing the deployment of tools that automate tasks like contract analysis, risk assessment, and compliance monitoring. The specialist ensures that the AI system aligns with legal standards and company policies while streamlining workflows and improving efficiency. They often collaborate with legal, IT, and procurement teams to ensure a smooth transition and optimal use of AI in managing contracts.

What are the key skills and qualifications needed to thrive as a contract AI implementation specialist?

To thrive as a Contract AI Implementation Specialist, you need expertise in AI concepts, contract management, and a relevant technical or business degree, often with experience in legal tech or AI deployment. Familiarity with tools such as contract lifecycle management (CLM) platforms, machine learning frameworks, and data integration systems is typically required. Strong problem-solving, communication, and project management skills help you collaborate across legal, IT, and business teams. These skills ensure successful AI-driven contract solutions that streamline workflows, minimize risk, and deliver business value.

What are some common challenges faced by professionals in contract AI implementation roles, and how can they be addressed?

Professionals working in Contract AI Implementation often encounter challenges such as integrating AI solutions with existing contract management systems, ensuring data privacy and security, and managing change within the organization. To address these, it's important to work closely with IT and legal teams, prioritize stakeholder communication, and provide comprehensive training to end-users. Staying up to date with evolving AI technologies and regulatory requirements also helps in proactively identifying and mitigating risks during implementation.
What are the most commonly searched types of Ai Implementation jobs in Wisconsin? The most popular types of Ai Implementation jobs in Wisconsin are:
What are popular job titles related to Contract Ai Implementation jobs in Wisconsin? For Contract Ai Implementation jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Contract Ai Implementation jobs in Wisconsin look for? The top searched job categories for Contract Ai Implementation jobs in Wisconsin are:
What cities in Wisconsin are hiring for Contract Ai Implementation jobs? Cities in Wisconsin with the most Contract Ai Implementation job openings:
Infographic showing various Contract Ai Implementation job openings in Wisconsin as of August 2026, with employment types broken down into 71% Full Time, 10% Part Time, and 19% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Manager of Strategic Sourcing, Software and Engineering

Zendesk

Madison, WI • On-site

$130K - $168K/yr

Full-time

Re-posted 1 hour ago


Job description


Manager of Strategic Sourcing, Software and Engineering
Location: Hybrid role in:
Austin, TX
Madison, WI
San Francisco, CA
The Global Strategic Sourcing team helps maximize value and minimize risk through Zendesk's vendor relationships and ensures the organization has the goods and services needed for success.
As Manager of Strategic Sourcing, you will play a key role during the sourcing strategy and execution across software and engineering categories. You'll use your innovative thinking, analytical and negotiating skills to oversee and lead highly complex negotiations, contract review, and usage forecasting to achieve top-line growth and maximize value to the company.
This role encompasses all aspects of the sourcing's responsibilities including category assessment, vendor due diligence, RFx, contract negotiations and vendor management.
Key responsibilities:
  • Strategic Guidance & Influence: Guide and influence business and senior leadership through key strategic projects and procurement strategy, focusing on critical vendor management, integration, and informed purchase guidance aligned to Zendesk growth and partner vision. This includes developing executive-level presentations and analysis for internal partner communications/updates.
  • Forecasting & Data Alignment: Develop, maintain, and validate accurate forecasts for usage, licenses, and capacity for key contracts (e.g., AWS, Google, MongoDB, Snowflake, and others) in collaboration with Engineering, IT, and business units to gather data and identify trends or potential risks to inform contract negotiations and prevent over-commitment or unnecessary costs.
  • AI/LLM Sourcing & Optimization: Lead sourcing strategy, complex negotiations, and vendor diversification for Artificial Intelligence (AI) and Large Language Model (LLM) providers. Analyze and optimize AI/LLM consumption, including token usage and capacity planning, to inform contract negotiations and mitigate financial risk.
  • Sourcing Execution & Cost Management: Lead end-to-end sourcing execution, including market research, RFx strategy development, and acting as an escalation point for contract negotiations partnering with Legal, Security, and IT. Support spend management projects focused on savings, process efficiency, and risk reduction, including total cost of ownership evaluations and pricing audits.
  • Multi-Vendor LLM Strategy: Implement and manage a multi-vendor LLM ecosystem strategy, including coordinating sourcing for frontier labs (e.g., OpenAI, Anthropic), hyperscaler routes (e.g., AWS Bedrock, Gemini/Vertex), and open-weight model providers (e.g., Groq, Baseten) to ensure diversification, cost efficiency, and performance optimization.
  • Commercial Leverage & Commitment Discipline: Drive commercial leverage by maintaining commitment discipline (targeting ~60% of forecasted spend) and pursuing flexible, shorter (6-12 month) renewal cycles with major LLM providers to mitigate market volatility and pricing shifts.
  • AI Productivity Governance: Collaborate with Engineering and IT to manage the governance layer for internal AI productivity tooling (e.g., LibreChat, Claude Code, Gemini) to track seat vs. consumption costs and align model spend with security and legal approvals.

Personal qualities:
  • 5+ years of experience sourcing for a tech or software company
  • Strong software and engineering strategic negotiation skills
  • Proven team player and ability to build and maintain business partnerships
  • Executive level communication and presentation skills
  • Highly motivated towards achieving cost savings and operational improvement goals
  • Demonstrated subject matter expertise in the functional areas of Technology, product and engineering.
  • Proven success leading projects that impact multiple functional areas
  • Flexibility and influence in working in a high growth, high volume environment
  • Demonstrated subject matter expertise in AI infrastructure, including RAG frameworks, AI gateways, and consumption-based pricing models.
  • Understanding of how AI and automation are reshaping the competitive landscape for software and professional services vendors.
  • Proven ability to integrate commercial strategy with a technical ecosystem, specifically leveraging hyperscaler routes for negotiating better terms and model portability.
  • Experience negotiating with vendors offering revenue-based pricing models and managing data usage agreements that involve AI/LLM usage, such as API renewals.

The US annualized base salary range for this position is $116,000.00-$174,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.