AI/ML Product Owner
About The Position
This role is critical to advancing enterprise-wide analytics at Client. The Expert Technical Specialist will partner closely with data architecture, data engineering, and business analytics teams to identify and implement machine learning (ML) use cases that address real-world business challenges. The position sits within Client's Data & Analytics Center of Excellence, which is responsible for executing the company Enterprise Data & Analytics strategy fostering a data-driven culture, governing data assets, and enabling impactful business insights. Product Owner Focus: This individual will act as a bridge between business stakeholders and technical teams. They will manage business use cases, oversee projects currently in flight, and ensure seamless progression through each phase of the process. This role emphasizes stakeholder engagement, prioritization, and execution oversight within the Data & Analytics Center of Excellence.
Requirements
- Bachelors degree with 7+ years of relevant experience.
- Proven ability to lead complex technical projects and collaborate across all levels of IT and business.
- Strong project leadership and organizational skills, with experience delivering high-impact technical solutions.
- Ability to effectively communicate technical concepts to both technical and non-technical audiences.
- Expertise in developing and delivering training or mentorship to team members.
- Excellent analytical, problem-solving, and documentation skills.
- Experience developing business cases, proposals, and presentations.
Responsibilities
- Leverage deep expertise in Dataiku (and Azure ML) to support business data scientists in defining, developing, tuning, and deploying ML models.
- Provide guidance and mentorship to data scientists and development teams on ML best practices from ideation to deployment.
- Serve as an Advanced Analytics Product Owner: identify and prioritize new ML use cases, track progress and risks, and coordinate resolution efforts.
- Drive thought leadership on Advanced Analytics governance, including ethical and legal guidelines.
- Build, validate, and implement predictive models in support of strategic initiatives or AI/ML proof-of-concepts; clearly present findings to stakeholders.
- Analyze current data-related processes and lead process improvement initiatives.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
