Data Product Owner

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

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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 sales performance management is highly advantageous.

- Strategic & Visionary Thinking: Demonstrated ability to define a compelling product vision for data analytics and translate it into a tangible, executable roadmap for analytical solutions. Ability to navigate complex corporate environment to align with overall Siemens data strategy.

- Communication & Influence: Exceptional ability to articulate complex analytical concepts and product strategies to diverse audiences, from technical teams to executive stakeholders, influencing decisions and aligning organizational efforts. Mandatory English proficiency.

- Agile Methodology: Experience working in agile development environments (Scrum, Kanban) and a commitment to iterative product delivery for data analytics solutions.

- Problem‑Solving: Strong analytical skills with the ability to identify complex business challenges, analyze data, and design effective, data‑driven analytical solutions.

What You Can Expect From Us…

- A hybrid and flexible working model to promote a better work‑life balance, along with a budget for home office support and the opportunity to do 16 hours a year of volunteer work. A health insurance, access to our on‑site medical center, plus the chance to join sports groups.

- In addition, you'll have access to online learning platforms and discounts with our partners. A shuttle bus to commute to the facilities and the possibility of financial support to your studies.

What makes us proud as an employer:

- Merco – Companies and Leaders with the Best Reputation in Portugal (#1 Technology/Manufacturing)

- Forbes – World’s Best Employers (#1 Engineering & Manufacturing)

- LinkedIn – LinkedIn Top Companies (#2)

- OnStrategy – REPSCORE 2024: Brands’ Reputation in Portugal (#1 Engineering & Electronic Services)

- Fortune – World’s Most Admired Companies (#1 Industrial Machinery)

- Teamlyzer – Company with the Best Interviews (#1 Technology)

Please attach your CV in English.

#Siemens #PortugalTechHub

Seniority level

- Mid‑Senior level

Employment type

- Full‑time

Job function

- Research

Industries

- Automation Machinery Manufacturing

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