DUTIES AND RESPONSIBILITES:
• Responsible for elicitation, analysis, and documentation of business requirements.
• Research and exploration of user requirements, costs, and benefits in support of documentation required for the demand management process.
• Responsible for analyzing the business needs to identify new processes and process improvements that will meet those needs.
• Documents current business processes and models to define requirements and/or gaps.
• Analyze detailed system factors including input/output requirements, information and paper flow, hardware, and software needs.
• Analyze “soft" system factors including roles, responsibilities, policy, culture, etc.
• Evaluate the impact of potential software and process changes on the organization.
• Develop and facilitate groups as necessary in pursuit of eliciting and defining requirements.
• Assist in the creation of the business case documentation.
• Understanding of architectural consistency and usability standards.
• Defines and develops user test cases and validates test results during testing.
• Executes unit and functional test cases.
• May conduct system demonstrations and training sessions, as well as participate in design/review of training content.
• Plays a third level support role by helping to troubleshoot and resolve issues with production systems.
• Participates in associate meetings and communicates any concerns to management.
QUALIFICATIONS AND REQUIREMENTS:
• Bachelor’s degree in computer science, Information Systems, Business, or another related field or equivalent work experience.
• Proven experience leading data migration requirements from legacy systems into a new ERP (Sage X3) environment
• Strong hands-on expertise in requirements elicitation, documentation, and management, with emphasis on data mapping, transformation rules, and validation
• Deep understanding of data structures, data quality, and migration best practices, with the ability to identify gaps and risks early
• Self-driven and accountable professional with strong stakeholder management and communication skills, able to drive outcomes with minimal oversight
• Working knowledge of Confluence and JIRA.
• Experience in any of the following business areas is desired: Sales operations, order entry, accounting, finance, procurement, warehouse operations, order management, and order fulfillment.
• Minimum of 3-5 years’ business analysis or systems analysis experience is preferred.
• Bonus: Sage X3 experience (ERP).
Associate is expected to operate at a proficient level across the following areas of technical knowledge and skill:
• Ability to organize and prioritize work.
• Detail oriented, proactive, creative, and efficient
• Intermediate level abilities in Excel, Outlook, PowerPoint, Visio, and Word
• Familiarity with application integration methods to include understanding of data mapping process.
• Ability to effectively work both independently and collaboratively in a team environment
• Ability to work on simultaneous and complex projects, with domain expertise in at least one business area.
• Expertise in ERP solution selection and implementation is a plus
• Ability to communicate effectively to both technical and non-technical audiences in written and non-written format
• Ability to work with all levels of associates
• Ability to work with minimal supervision in a very dynamic environment
• Ability to learn new systems and tools
• Knowledge of software development life cycle methodologies, processes, and procedures.
• Active listener
• Effective in a variety of formal/informal presentation settings: one-on-one, small, and large groups.
Job Title: Principal Engineer - Data Analytics
Location: Oshkosh, WI/New Hudson, MI
Permanent
Job Description: The Principal Data Scientist serves as the technical authority and strategic lead for enterprise artificial intelligence, machine learning, and advanced analytics initiatives across Client. In this role, you will architect cutting-edge AI solutions to optimize smart manufacturing, predictive maintenance, aftermarket parts and sales and supply chain operations.
Core requirements
- 8+ years of experience is the manager’s expectation for the principal level.
- Proven experience delivering analytics or AI projects tied to business outcomes, with demonstrated impact on revenue growth or margin improvement.
- Strong business or domain expertise in manufacturing, supply chain, operations, sales, or lifecycle services. Candidates from fields such as automotive, energy, CPG, or healthcare may also fit if they bring relevant business acumen.
- Experience working between business teams and IT/analytics: engaging senior business leaders (AVP level and above), gathering requirements, translating them into technology problems, and explaining solutions back to the business.
- Strong communication, business acumen, and ability to influence, including handling challenging conversations with senior leaders.
- Demonstrated experience mentoring junior team members.
Preferred
- Awareness of and openness to market-based or vendor-led AI solutions—not assuming every solution must be built in-house.
- A consultative, outcome-focused approach: able to deliver a solution by building it, partnering with a vendor or consultancy, or using managed services.
Your Impact
- Define the technical roadmap and architecture for enterprise AI/ML initiatives aligned with business objectives.
- Partner with executive leaders across Access, Defense, Fire & Emergency, and Commercial segments to identify high-value analytics opportunities.
- Champion best practices for MLOps, model governance, ethical AI, and scalable data products.
- Lead the end-to-end design, development, and deployment of complex predictive, prescriptive, and generative AI models.
- Translate complex business challenges into production-ready data science frameworks
- Provide technical mentorship and guidance to senior, mid-level, and associate data scientists and machine learning engineers.
- Collaborate closely with data engineering, cloud infrastructure, and software teams to ensure robust model deployment and monitoring.
- Communicate complex analytical concepts and ROI metrics clearly to technical and non-technical stakeholders.
Qualifications
- Experience with industrial IoT, telematics, edge AI, or time-series sensor data from heavy machinery, automotive, or aerospace domains.
- Background in computer vision (CV), autonomous vehicle tech, or robotics.
- 8+ years of progressive levels of responsibility in analytics and AI in any business organization
- Programming: Advanced proficiency in Python and SQL; experience with R, Scala, or C++ is a plus.
- ML/AI Frameworks: Deep experience with Scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face.
- Big Data & Cloud: Strong hands-on experience with cloud ecosystems (Azure or AWS), Databricks, Snowflake, and Apache Spark.
- MLOps & DevOps: Demonstrated expertise in Docker, CI/CD pipelines, MLflow, model registry, monitoring, and automated retraining workflows.
- Familiarity with Agile/Scrum delivery frameworks within large enterprise environments.
Industry Experience
- Experience working in a portfolio company with multi-business units; preferably a manufacturing company
- Bring domain expertise in Supply chain, Manufacturing or Lifecycle services
- Consulting (nice to have)
Personal Characteristics
- Exceptional problem-solving, strategic thinking, and architectural design skills.
- Strong business acumen with the ability to link algorithmic output to measurable industrial impact
- Fit with Client culture
- AI and Business savvy person who understands how businesses make money and how AI tools can help businesses solve real business problems
- Strong EQ with the demonstrated ability to relate to both data scientists and business leaders
- A strong listener with strong written, and verbal communication skills
- Change agent who can lead via inspiration and motivation, subject knowledge, and demonstrating a “roll up your sleeves” approach to working
Preferred Qualifications
- Bachelor’s degree in data science, mathematics, economics, statistics, engineering, or information management
- Advanced Degree (MBA and/or PhD)
- Background in computer vision (CV), autonomous vehicle tech, or robotics.
- Familiarity with Agile/Scrum delivery frameworks
