Data Product Owner - Sales Domain (m/f/d)

Descrição do trabalho

Create a better #TomorrowWithUs ????

At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over 300.000 of the world’s most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact. At the Portugal Tech Hub, we take on challenges to make life easier, safer, and more sustainable for us and generations to come. We bring value to the business digitalization transition, from Portugal to the world, in areas such as Artificial Intelligence, Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management, IT Strategy, User Experience, and many more.

With a decade of history and around 1.600 experts, the Portugal Tech Hub is the home of the new technologists – Dream Builders, Impact Creators & Future Makers.

Are you one of them? Come join us! ⭐

Siemens SI Data Intelligence and automation department is seeking a skilled and strategic Data Product Owner. This critical role is responsible for driving the vision, strategy, and execution of cutting-edge data intelligence products and solutions that empower our sales organization. The successful candidate will lead the transformation of raw sales data into impactful, user-centric analytical tools and platforms, directly contributing to Siemens' market leadership and growth through superior data-driven insights.

• Your mission will be...
• Collaborate in Defining and Championing Analytics Product Vision: Articulate a compelling, long-term vision for sales data analytics solutions, ensuring alignment with Siemens' overall business strategy and sales objectives. This includes identifying new opportunities for data products and solutions that enhance sales effectiveness.
• Own and Execute Analytics Product Roadmap: Develop, prioritize, and maintain a clear, outcome-oriented product roadmap for sales data analytics products and solutions. Balance strategic initiatives with tactical needs, ensuring continuous delivery of value.
• Identify and Prioritize Product Value: Collaborate extensively with sales Product Manager and key stakeholders to deeply understand their data and analytical challenges and opportunities. Translate these into precise product requirements, user stories, and acceptance criteria for data analytics solutions, always prioritizing features with the highest potential business value.
• Manage Analytics Product Lifecycle: Oversee the entire product lifecycle for sales data analytics solutions, from ideation, discovery, and prototyping through development, testing, deployment, and continuous improvement. Guide dedicated agile development teams in building robust and scalable solutions.
• Leverage Sales Business Process Expertise: Apply in-depth knowledge of sales business processes (e.g., lead management, opportunity-to-order, forecasting, sales performance management, Salesforce) to ensure that developed data analytics products genuinely address and optimize real-world sales operations.
• Drive Advanced Data Analytics Solutions: Lead the definition and development of advanced data analytics solutions within the sales domain. This includes defining requirements for interactive dashboards, self-service reporting tools, predictive models, prescriptive analytics, and other sophisticated analytical applications that provide actionable insights.
• Ensure Data Quality & Governance for Analytics: Partner with data governance, data engineering, and data science teams to ensure the integrity, quality, and accessibility of sales data, recognizing that reliable data is the fundamental input for high-quality analytics products.
• Stakeholder Management & Communication: Act as the primary interface between sales, IT, data engineering, data science, and other product teams. Foster strong relationships, manage expectations, and ensure clear communication and alignment across all stakeholders regarding analytics product development.

• We are looking for...
• Product Ownership Experience (3+ years): Proven track record as a Product Owner or Product Manager, with significant experience preferably in data analytics products or solutions. Demonstrated ability to define and deliver complex analytical offerings.
• Deep Data & Analytics Acumen: Solid understanding of data warehousing, data modeling, ETL/ELT processes, and various data analytics techniques (descriptive, diagnostic, predictive, prescriptive). Familiarity with analytical tools and platforms, preferably Snowflake, Power BI, Python.
• Sales Business Process Expertise: Comprehensive knowledge of core sales business processes and how they operate within a large enterprise. Experience with CRM systems (e.g., Salesforce) and sal