What you'll do
To support our ambitious project, you will work with customers, partners, field services and internal product teams to identify market requirements and derive product priorities. You will closely interact with engineering teams in your organization and other SAP application teams, to translate high-level requirements into executable backlogs and finally succesful products on the market.
- Product Strategy – refine the product vision and promote it with customers, partners and internal stakeholders within Product Engineering
- Product Management – collect feedback from internal and external stakeholders, apply a structured ranking of the requirements and transform them into a product backlog
- Stakeholder Management – suggest new use cases to our internal stakeholders and obtain their commitment to support the realization of the use cases
- Market insights – examine market trends, customer needs and competitive landscape to identify new opportunities for product growth and differentiation
- Roll-out – evangelize our roadmap and explain new capabilities towards customers and partners, support the product adoption by lighthouse customers
- Product performance – you are accountable for product adoption and thus will ensure the product usage and customer satisfaction are properly tracked, and corrective actions are taken when necessary
What you bring
- Degree in Computer Science, Data Science, Engineering or related field. MBA or similar business orientation would be a plus.
- 5+ years of experience in enterprisedata and analytics topicswith a minimum of 2 years in a product management role
- Experience with SAP Analytics Cloud / SAP Datasphere or competitor analytics tools / data warehousing environments
- Ideally experience with at least one of the core SAP Business Applications (Enterprise Resource Planning, Human Capital Management, Spend Management, Customer Experience) or similar competitor products
- Experience with Databricks and/or Spark preferred
- Excellent communication and presentation skills - addressing internal teams, partners and customers appropriately on different organizational levels
- Solid technical background to effectively communicate with engineering teams
- Experience in data management, data engineering or analytics topics, including data lake approaches
Job Segment:Senior Product Manager, ERP, Product Manager, Data Management, Operations, Technology, Marketing, Data