Job Description

DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries.

We are looking for SAP Product Owner - Business Data Cloud.

Key Responsibilities

Product Strategy & Ownership

• Own the end‑to‑end product lifecycle for the SAP Business Data Cloud offering, from vision and roadmap through delivery, scaling, and continuous improvement.
• Define and evolve a clear product strategy aligned to corporate objectives, SAP’s data and AI roadmap, and market demand.
• Lead portfolio evaluation and optimization to ensure commercial viability, differentiation, and scalability.
  
  

Go‑to‑Market & Growth

• Partner with SAP practice leadership, marketing, and regional market leads to define and execute go‑to‑market (GTM) strategies, value propositions, and sales enablement.
• Support pipeline growth through repeatable solution patterns, pilots, and packaged offerings, accelerating time‑to‑value for clients.
• Enable regional teams with messaging, solution positioning, and use‑case‑driven narratives grounded in business outcomes.
  
  

Market & Customer Insight

• Analyze market trends, competitive dynamics, and customer feedback to inform roadmap prioritization and investment decisions.
• Translate client challenges into AI‑led, data‑driven use cases leveraging SAP BDC’s data products, insight apps, and embedded AI capabilities.
• Act as the voice of the customer, ensuring solutions are business‑relevant, outcome‑focused, and adoption‑ready.
  
  

AI‑Led Innovation

• Define and articulate AI‑driven value propositions using SAP Business Data Cloud, SAP Business AI, and complementary DXC Data & AI solutions and frameworks including DXC Xponential.
• Leverage SAP’s native AI capabilities, Databricks integration, and zero‑copy data access to enable advanced analytics, machine learning, and generative AI use cases.
• Ensure solutions are built on trusted, governed, and semantically rich enterprise data to support responsible and scalable AI.
  
  

Ecosystem & Partner Integration

• Integrate and position strategic partner technologies within the SAP BDC offering including Databricks, Snowflake, AWS, and Microsoft Azure.
• Collaborate with partners to co‑create differentiated solutions and accelerate co‑sell opportunities.
• Stay current with SAP’s evolving architecture and ecosystem, and other emerging integrations supporting unified analytics and AI.
  
  

Delivery & Cross‑Functional Leadership

• Work closely with cross‑functional teams (architecture, engineering, delivery, sales, and marketing) to bring solutions from concept to market.
• Lead pilots, proof of value, and early client engagements, then scale successful solutions into repeatable delivery models.
• Provide product leadership and direction while fostering collaboration across global and regional teams.
  
  

Professional Experience And Qualifications Required

• Bachelor’s degree in a relevant field or an equivalent combination of education and experience.
• Typically 8+ years of relevant industry experience, with 3+ years in a product owner, product management, or offering‑led role.
• Proven experience leading enterprise data, analytics, AI, or SAP‑centric deliveries, products or offerings.
• Strong capabilities in product strategy, roadmap definition, market analysis, and stakeholder management.
• Demonstrated ability to translate complex technology into clear, business‑focused value propositions.
• A continuous learner who actively stays current with SAP, data, AI, and cloud platform innovations.
  
  

Additional Qualifications

• Advanced degree (MBA, MS, or equivalent) is a plus.
• SAP certifications in one or more of the following areas:
• SAP Business Data Cloud
• SAP Business AI
• SAP Analytics Cloud
• SAP BW / BW/4HANA
• SAP Generative AI Developer
• Experience working with Databricks, Snowflake, AWS, Azure, or modern data platforms in an SAP context.
• Familiarity with Agile and product‑led delivery models for enterprise platforms.