A leader in technology and innovation, Southwire Company, LLC is one of North America’s largest wire and cable producers. Southwire and its subsidiaries manufacture building wire and cable, utility products, metal-clad cables, portable and electronic cord products, OEM wire products, and engineered products. In addition, Southwire supplies assembled products, contractor equipment, electrical components, hand tools, and job site power and lighting solutions. The company also offers digital solutions including contractor planning and utility grid resiliency as well as field services including cable testing, rejuvenation, and replacement to support our customers as a value-added partner. We are proud to offer competitive compensation, employee benefits, tuition reimbursement, and unlimited growth opportunities. Our more than seven decades of progressive growth can be attributed to our determination to develop innovative systems and solutions, exercise environmental stewardship, and enhance the well-being of the communities in which we work and live. How will you power what’s possible?
Southwire Job Description
AI Machine Learning Product Manager will use data to understand the product and business ecosystem, identify opportunities, and shape product development. Will guide product teams using data and insights, focusing on developing hypotheses employing various analytical approaches, and telling data-driven stories to influence leaders and build credibility while inspiring and leading a team of data scientists and data science leader
Essential Duties and Responsibilities
• Lead the team of data scientists to develop AI/ML and data-driven business strategies
• Drive analytics projects end-to-end in partnership with cross-functional teams to inform, influence, and execute product strategy and investment decisions.
• Influence product direction through clear and compelling presentations to leadership.
• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product/services, and drive roadmaps through your insights and recommendations.
• Contribute towards advancing the Data Science discipline, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
Required Education, Experience, and Skills
Minimum Education Level: Bachelor's
Specialized Degree: Data Science
Years of Experience: 10+
Field of Expertise: Product Manager, Artificial Intelligence, Machine Learning, Generative AI
Preferred Education, Experience, and Skills
Minimum Education Level: Master's
Specialized Degree: Data/Decision Sciences
Years of Experience: 15+
Preferred Field of Expertise: Product Development, Product Ownership
Other Preferred Skills, Licenses, & Certificates: Architecting for AI/ML-based products for business applications, 5+ years leadership experience, Strong product management and product ownership experience. Qualification and/or experience in AI product development is a plus.
Reports To (Supervisor Title): VP of AI & Advanced Analytics
Does this role Manage Southwire Team Members: Yes
Direct Reports Job Title(s): Data Scientist
Number of Direct Reports: 2-5
Travel: Domestic % of Time: Up to 50%
Workplace Setting: Hybrid (2-3 days a week On-Site in Atlanta, or Carrollton GA)
Benefits We Offer:
401k with Matching Family and Individual Insurance Packages (Health, Life, Dental, and Vision) Paid Time Off & Paid Holidays Long & Short-Term Disability Supplemental Insurance Plans Employee Assistance Program Employee Referral Program Tuition Reimbursement Programs Advancement & Professional Growth opportunities Parental Leave & MoreSouthwire is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.