Duales Studium in Data Science und Künstliche Intelligenz mit Bachelorabschluss (DHBW Mannheim). Fokus auf Digitalisierung, Prozessoptimierung und KI - gestützte Modelle.
About the role
- Technical Product Owner supporting the Small Business Data Science team to enhance analytical solutions. Collaborating with stakeholders to align data science strategies with business goals.
Responsibilities
- Build strong partnerships with business customers and technology partners, and act as key point of contact for several Data Science assets with internal stakeholders
- Assist in identifying opportunities to evolve or reuse existing assets or develop new assets that could add operational and business value
- Assist with the marketing strategy of key capstone initiatives. Build customer artifacts to support adoption, marketing and socialization including documentation, project plans, and roadmaps
- Develop disciplined project timelines and support teams’ capacities to deliver results in a timely manner
- Act as product owner for a team supporting development of multiple projects, with direct accountability over backlog prioritization and refinement.
- Assist in execution of well-designed communication plans tailored to audiences ranging from technical peers to business stakeholders of various levels
- Assist in development of vision and strategic planning, success criteria, CBA and value propositions for Data Science assets
- Assist in development of new processes and best practices to mature the operating model of the broader Data Science, AI and Analytics team
Requirements
- 2+ years of experience in business consulting, analytic or machine learning product management, or strategic/analytical roles highly desired
- Agile and Product Owner experience highly desired
- Experience in turning a new business problem into an executable technical or analytical solution
- Experience in impactful storytelling, communication, and relationship management across a broad range of technical and non-technical audiences
- Develop storylines and deliver key messages through appropriate channels tailored to the audience’s perspectives and needs
- Be able to articulate technical concepts to a non-technical audience
- Comfortable with working on novel, ambiguous business problems with no clear-cut solutions while flexing different roles to achieve project success
- Ability to manage multiple projects concurrently, and to set priorities and plans to meet business goals and objectives
- Experience in leveraging Microsoft tools to develop compelling visuals articulating complex analytical topics
- Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
- Basic understanding of statistics, the analytical project lifecycle, data science concepts, Generative AI capabilities, data transformation, and data warehouse concepts
- Domain knowledge in Insurance and KPIs is a plus
- Candidate must be authorized to work in the US without company sponsorship.
Benefits
- Other rewards may include short-term or annual bonuses
- long-term incentives
- on-the-spot recognition
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