Product Owner - Commercial Analytics

ness considerations.

What you'll do:

1. Vision and Strategy:
   o Develop and communicate a clear vision and roadmap for commercial analytics data products, aligning with overall business objectives.
   o Identify key business challenges and opportunities where data can provide solutions, particularly in areas of commercial KPIs such as sales orders, backlogs, and profitability
2. Sales, Orders, Backlogs and Profitability Analysis:
   o Monitor and analyze sales, order and backlog data to identify trends, gaps, and opportunities for improvement.
   o Develop and maintain profitability data products to provide insights into product performance, cost management, and revenue optimization.
   o Use advanced analytics and modeling techniques to forecast profitability and support strategic decision-making
3. Performance Metrics and Reporting:
   o Define and track key performance indicators (KPIs) related to sales orders, backlogs, and profitability.
   o Present regular dashboards to stakeholders, highlighting insights and actionable recommendations
4. Data Product Management:
   o Oversee the development and maintenance of data products that provide insights into sales orders, backlogs, and profitability.
   o Ensure data products are accurate, secure, compliant, and accessible to authorized users
5. Stakeholder Collaboration:
   o Work closely with stakeholders across various departments (e.g., sales, finance, operations) to gather requirements and ensure the data products meet their needs.
   o Foster collaboration between data scientists, engineers, analysts, and business users to ensure alignment and effective communication
6. Continuous Improvement:
   o Stay updated with the latest trends and technologies in data analytics and commercial operations.
   o Continuously seek opportunities to enhance data products and processes to drive business growth and efficiency

Qualifications:

Required (Basic) Qualifications:
• Bachelor's degree from an accredited institution required.
• Minimum of 5 years of experience in commercial finance, project manager, BRM or program lead with a focus on data-driven digital finance products using design thinking methodologies.
• Minimum of 2 years of experience as a Product Owner or equivalent position.

• 10% travel required
• Relocation assistance is not available for this position. Only candidates currently located within a 50 mile radius of Beachwood OH or Moon Township, PA will be considered. Active Duty Military Service member candidates are exempt from the geographical area limitation.
• Must be able to work in the United States without corporate sponsorship now and within the future.
Preferred qualifications:
• Manufacturing experience preferred.

Skills and Qualifications:
• Analytical Skills: The ability to analyze complex data sets and derive actionable insights is crucial. This includes proficiency in tools like Power BI, Alteryx, and Cloudera, which are commonly used for data visualization and advanced analytics
• Technical Proficiency: Familiarity with various analytics tools and platforms for data analytics, data science, and business intelligence tools, and Jira for project management is important. Knowledge of cloud-based platforms like Azure and data science tools like Dataiku can also be beneficial.
• Product Management: Strong product management skills are essential, including the ability to develop and lead product vision, strategy, and roadmap. This involves working closely with cross-functional teams to ensure successful product development and launch
• Collaboration and Communication: Excellent communication and collaboration skills are necessary to work effectively with various departments such as supply chain, legal, HR, engineering, marketing, and IT. Engaging with business partners and customers to define product requirements and user stories is also a key part of the role
• Agile Methodologies: Experience with agile methodologies, including sprint planning, backlog refinement, and solution designing activities, is important. Utilizing design thinking approaches for planning and alignment across teams is also beneficial
• Financial Acumen: A deep understanding of commercial finance and analytics is crucial. This includes deep knowledge of commercial operations, sales processes, and financial analysis along with the ability to develop KPIs, dashboards, and analytics on commercial data, as well as providing financial insights to support commercial objectives.
• Problem-Solving: Strong problem-solving skills are necessary to address challenges that arise during product development and to continuously improve data products.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.

You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.

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We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.