Cisco's Sales Strategy, Planning and Operations team is looking to transform sales planning activities by turning complex, multi-source data into actionable insights that empower sales, accelerate growth, and drive strategic decision-making.
Requirements
- Proven success in designing and maintaining scalable data architectures supporting sales, marketing, or business analytics
- Strong expertise in SQL or Python and experience with major relational database technologies (SAP HANA, Snowflake, etc.)
- Cloud data migration and AI/ML solution prototyping experience
- Practical knowledge of prompt engineering, fine-tuning, or deploying generative AI models in production
- Experience working with generative AI models and tools (e.g., OpenAI, Azure AI, Google Vertex AI, or similar) for data enrichment, insight generation, or workflow automation
- Experience collaborating with AI or data science teams to design, implement, and integrate generative AI solutions into business analytics environments
Responsibilities
- Design, build, and optimize scalable data pipelines and architectures (maximising HANA, Snowflake and external data sources) to enable reliable, timely, and well-structured data for analytics, dashboards, and modeling.
- Partner closely with analytics managers, data analysts, and data scientists to deliver insights that directly advise executive sales, planning, and go-to-market strategies.
- Collaborate with business and strategy partners to understand evolving requirements and translate them into technical data solutions that support growth initiatives—such as segmentation, customer insights, and new go-to-market approaches.
- Identify and automate manual or repetitive data processes, scaling analytics capabilities and freeing up analysts for more strategic work.
- Ensure the integrity, consistency, and accuracy of data pipelines and data models, supporting business-critical Tableau dashboards, Excel workbooks, and data science models.
- Prototype and implement new data solutions, championing data engineering standards and experimenting with emerging tools and techniques (e.g., AI, Python, cloud data migration).
- Partner with data scientists and AI teams to prototype, integrate, and operationalize generative AI solutions (such as large language models, text summarization, or automated insight generation) into analytics workflows and business processes.
Other
- 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role, with a degree in Computer Science, Engineering, Information Systems, or a related quantitative field
- Ability to communicate technical concepts to business collaborators and influence data-driven decisions
- Share knowledge, mentor peers, and help foster a culture of continuous learning and improvement across the analytics engineering function.
- Build relationships across Cisco’s data stewards, architects, and business teams to discover new data sources, drive data integration, and contribute to company-wide data initiatives.
