Legal Operations Data & Analytics Lead
John Deere
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Benefits offered by this job
Job summary
John Deere seeks a seasoned Legal Operations Data & Analytics Lead to transform legal data into strategic insights. You will design dashboards, self-service analytics, and contract intelligence solutions, partnering across Legal, Finance, IT and business teams to drive efficiency and data-driven decision making.
Based at a John Deere location in the US, you will build forecasting models, AI-enabled tools, and data pipelines, enabling better budgeting, compliance, and process improvements within
Qualifications
- 5+ years of experience in data analysis, BI, data science, data engineering or advanced analytics.
- Strong Python and SQL programming skills for transforming and validating data.
- Experience building dashboards/reports with Power BI, Tableau or similar tools.
- Experience creating data pipelines, automated reporting workflows, data repositories or analytics environments.
- Ability to translate data into business insights and recommendations.
- Strong communication and collaboration with Legal, Finance, IT and business stakeholders.
Responsibilities
- Develop and maintain dashboards and self-service analytics using Power BI, Tableau or similar tools.
- Analyze legal operations data to identify insights, risks and opportunities.
- Perform data wrangling and quality management to improve data accuracy and trust.
- Enable contract intelligence by extracting and analyzing contract data for insights.
- Develop forecasting and anomaly detection capabilities to support budgeting and planning.
- Support AI/LLM readiness by preparing data pipelines for AI use cases within Legal Operations.
- Build AI-enabled tools and agents in the Microsoft environment including Power Platform and Azure AI.
- Collaborate with Legal, Finance, IT and other stakeholders to improve data governance and analytics maturity.
Skills
Education
Tools
Job description
There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
John Deere is an equal opportunity employer, including disabled & veterans.
Primary Location: United States (US) - Illinois - Moline
Function: Data and Analytics (CA)
Title: Legal Operations Data & Analytics Lead - 123377
Onsite/Remote: Onsite Position
The Legal Operations Data & Analytics Lead develops analytics, reporting, artificial intelligence solutions, and data-driven insights that improve the effectiveness, efficiency, and strategic decision-making capabilities of the Legal organization. This role serves as the Legal Operations team's technical expert for dashboard development, self-service analytics, contract intelligence, data wrangling, data pipelines, and AI-enabled solutions. The role partners with stakeholders to transform legal data into actionable insights.
As a Legal Operations Data & Analytics Lead For John Deere World Headquarters Located In Moline, IL, Des Moines, IA, Chicago, IL, Or Santa Clara, CA You Will
- Develop and maintain dashboards and self-service analytics-build Power BI, Tableau, or similar reporting solutions.
- Analyze legal operations data-evaluate outside counsel spend, billing trends, matter lifecycles, workload drivers, operational performance, and process efficiency to identify insights, risks, and improvement opportunities.
- Perform data wrangling and quality management -cleanse, transform, validate, and standardize data to improve accuracy, consistency, usability, and trust in Legal reporting and analytics.
- Enable contract intelligence-extract, structure, and analyze contract data to identify obligations, risks, trends, business opportunities, and insights that support Legal and business decision-making.
- Develop forecasting and anomaly detection capabilities-build models, scripts, and monitoring solutions that support budgeting, demand planning, billing review, compliance monitoring, and identification of outliers or process issues.
- Support AI and LLM readiness-build structured datasets and pipelines for artificial intelligence consumption, including GenAI, machine learning, and large language model use cases within Legal Operations.
- Build AI-enabled tools and agents-design and support AI agents, copilots, automations, and workflow solutions in the Microsoft environment, including Microsoft 365, Power Platform, Copilot Studio, Microsoft Fabric, Azure AI, and related tools.
- Partner across functions-work with Legal, Finance, Procurement, IT, Compliance, and other stakeholders to improve data governance, reporting adoption, operational efficiency, and analytics maturity.
- 5 or more years of experience in data analysis, business intelligence, data science, data engineering, or advanced analytics.
- Strong programming skills in Python and SQL, including experience transforming, analyzing, and validating complex datasets.
- Experience developing dashboards, reports, and visual analytics using Power BI, Tableau, or similar visualization tools.
- Experience building or maintaining data pipelines, automated reporting workflows, data repositories, or analytics environments.
- Strong analytical and problem-solving skills with the ability to translate data into business insights and recommendations.
- Strong communication skills and ability to partner with Legal, Finance, IT, and business stakeholders.
- Familiarity with legal technology platforms
- Experience with Microsoft Fabric, Azure Data Services, Azure AI, Power Platform, Copilot Studio, Microsoft 365, or related Microsoft enterprise technologies.
- Experience building AI agents, copilots, LLM-enabled tools, or automation solutions in a Microsoft environment.
- Experience with contract analytics, document intelligence, unstructured data extraction, or knowledge management solutions.
- Experience with machine learning, predictive analytics, anomaly detection, statistical modeling, or forecasting.
- Knowledge of data governance, data quality, data privacy, access controls, and information management best practices.
Ideally you will have a degree or equivalent related work experience in the following:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, Engineering, or a related quantitative field, or equivalent experience.
At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:
- Flexible work arrangements
- Highly competitive base pay
- Savings & Retirement benefits (401K and Defined Contribution)
- Healthcare benefits with a generous company contribution in the Health Savings Account
- Adoption assistance
- Employee Assistance Programs
- Tuition assistance
- Fitness subsidies and on-site gyms at specific Deere locations
- Charitable contribution match
- Employee Purchase Plan & numerous discount programs for personal use
- Vacation and Holiday Pay
$109,284.00 - $163,920.00 + Benefits
Must be 18 years of age or older to apply
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.
ACA Section 1557 Nondiscrimination Notice
The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.
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