Dover is a diversified global manufacturer with annual revenue of over $7 billion. We deliver innovative equipment and components, specialty systems, consumable supplies, software and digital solutions, and support services through five operating segments: Engineered Products, Fueling Solutions, Imaging & Identification, Pumps & Process Solutions and Refrigeration & Food Equipment. Dover combines global scale with operational agility to lead the markets we serve. Recognized for our entrepreneurial approach for over 60 years, our team of approximately 24,000 employees takes an ownership mindset, collaborating with customers to redefine what's possible. Headquartered in Downers Grove, Illinois, Dover trades on the New York Stock Exchange under "DOV." Additional information is available at dovercorporation.com.
AI Business Analyst, Dover Corporation
Objectives of This Role
- Support the development, deployment, and adoption of AI/ML-powered solutions across Dover's operating companies by providing foundational business analysis and stakeholder coordination.
- Assist in translating business problems into clearly defined requirements that guide data science, engineering, and product teams toward impactful AI-driven outcomes.
- Help bridge the gap between technical AI/ML teams and business stakeholders by gathering, documenting, and communicating requirements, insights, and project status.
- Contribute to customer-centric, data-driven culture by analyzing usage patterns, tracking key metrics, and surfacing opportunities for continuous improvement of AI products and features.
Responsibilities
- Gather, document, and validate business and functional requirements for AI/ML initiatives by conducting stakeholder interviews, workshops, and process walkthroughs across Dover's operating companies.
- Assist in maintaining and prioritizing the AI product backlog, ensuring user stories and acceptance criteria are clearly defined and aligned with business objectives.
- Analyze datasets to identify trends, patterns, and insights that inform AI/ML model development, feature prioritization, and business decision-making.
- Create and maintain documentation including business requirements documents (BRDs), process flows, data dictionaries, and user journey maps specific to AI-powered solutions.
- Support user acceptance testing (UAT) for AI/ML products and features — developing test cases, coordinating testing activities, and documenting results and defects.
- Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives, contributing to backlog refinement and sprint documentation.
- Assist with go-to-market and change management activities for AI product rollouts, including user onboarding materials, training guides, and feedback collection.
- Research AI/ML market trends, competitive offerings, and emerging technologies to support product strategy and roadmap planning.
- Coordinate across cross-functional teams — including data scientists, ML engineers, software developers, designers, and business leaders — to ensure alignment and remove communication barriers.
Required Skills and Qualifications
- Bachelor's degree in business, engineering, computer science, data science, information systems, or a related discipline.
- 0–2 years of professional experience in business analysis, data analytics, or a related role; internship or co-op experience in an AI/ML, analytics, or technology-focused environment is valued.
- Foundational understanding of AI/ML concepts (e.g., predictive modeling, natural language processing, computer vision, recommendation systems) and how they apply to business problems.
- Strong analytical and critical-thinking skills with the ability to interpret data, identify patterns, and translate findings into actionable recommendations.
- Solid written and verbal communication skills, including the ability to clearly present technical concepts and analysis to both technical and non-technical audiences.
- Familiarity with Agile/Scrum methodologies and experience working in or supporting cross-functional teams.
- Strong organizational skills with the ability to manage multiple tasks, meet deadlines, and adapt to shifting priorities in a fast-paced environment.
- Intellectual curiosity and a passion for learning about artificial intelligence, machine learning, and their real-world business applications.
Desired Skills and Qualifications
- Master's degree (MBA or technical master's) with a focus on analytics, data science, AI, or a related discipline.
- Familiarity with data platforms, cloud environments (e.g., AWS, Azure, GCP), or ML workflow tools (e.g., MLflow, SageMaker).
- Domain interest or experience in manufacturing, industrial technology, or B2B environments — particularly in areas such as predictive maintenance, quality analytics, demand forecasting, or aftermarket/service optimization.
- Awareness of responsible AI practices, including data privacy, bias mitigation, and ethical considerations in AI product development.
- Experience supporting products or projects in a multi-business-unit or decentralized enterprise environment.
- Prior internship, academic project, or coursework involving AI/ML model development, data pipeline design, or analytics product delivery.
STATEMENT OF NON-INCLUSIVITY
This job description is not to be construed as a complete listing of the duties and responsibilities that may be given to any employee. The duties and responsibilities outlined in this position may be added to or changed when deemed appropriate and necessary by the person who is managerially responsible for thi
Work Arrangement : Hybrid
All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other factors prohibited by law.
Job Function : Engineering
