Meet the Team
Join the GTM Strategy & Planning organization, where data, AI, and analytics power business growth across Cisco and Splunk. Our team partners with Sales, Marketing, Product, Customer Success, and Operations to deliver data-driven insights, predictive intelligence, and AI-powered solutions that accelerate revenue, improve customer engagement, and shape strategic decision-making at a global scale. We are seeking a hybrid data-driven talent who can bridge the gap between complex analytical modeling and scalable data infrastructure.
Your Impact
You will be a hands-on leader driving the development of advanced AI and machine learning solutions and the underlying data architecture that drives strategic GTM business outcomes across Cisco and Splunk. You'll work with executive stakeholders and cross-functional teams to solve complex business challenges, build predictive models, engineer high-performance data pipelines, and enable data-driven GTM strategies that influence customer acquisition, product adoption, and revenue growth.
Responsibilities
Design, build, and deploy predictive models and AI/ML solutions that support GTM strategy and business growth.
Develop propensity models and advanced analytics to enable targeted account selling and intelligent sales motions.
Architect, build, and optimize scalable backend data pipelines and integration workflows to ensure high-quality, reliable, and performant data infrastructure.
Lead the design and implementation of efficient data modeling strategies to support large-scale, high-velocity enterprise data.
Partner with Sales, Marketing, Product, Customer Success, and Operations to identify high-impact opportunities and deliver actionable insights.
Build and optimize scalable data pipelines, ensuring high-quality, reliable data infrastructure.
Lead innovation by introducing modern AI techniques, data engineering best practices, and analytical methodologies.
Mentor and guide junior data scientists and analysts while promoting technical excellence.
Present complex analytical findings and strategic recommendations to senior executives.
Ensure analytical rigor, model validation, and responsible AI practices across all solutions.
Minimum Qualifications
8+ years of experience in Data Science, Machine Learning, or Advanced Analytics within the technology industry.
Strong expertise in Python or R, machine learning, predictive modeling, and AI frameworks such as TensorFlow.
Advanced proficiency in data engineering, including building robust ETL/ELT processes and managing data workflows.
Advanced SQL skills with hands-on experience using Snowflake, Hadoop, Apache Spark, or similar big data platforms.
Experience building and managing scalable ETL processes and data pipelines using tools such as Alteryx or equivalent.
Master's degree or PhD in Data Science, Computer Science, Statistics, Analytics, or a related quantitative discipline.
Preferred Qualifications
Experience supporting GTM, Sales Analytics, Revenue Operations, or Marketing Analytics initiatives.
Proven experience leading projects and mentoring data science and data engineering teams.
Strong executive communication and storytelling skills, translating technical insights into business recommendations.
Knowledge of Responsible AI principles, AI governance, and emerging AI technologies, including Generative AI.
Ability to thrive in a fast-paced, highly collaborative, cross-functional global environment.
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Skills Required
- 8+ years experience in Data Science, Machine Learning, or Advanced Analytics within the technology industry
- Strong expertise in Python or R
- Experience with machine learning, predictive modeling, and AI frameworks such as TensorFlow
- Advanced SQL skills
- Hands-on experience with Snowflake, Hadoop, Apache Spark, or similar big data platforms
- Experience building and managing scalable ETL processes and data pipelines using tools such as Alteryx or equivalent
- Master's degree or PhD in Data Science, Computer Science, Statistics, Analytics, or related quantitative discipline
- Experience supporting GTM, Sales Analytics, Revenue Operations, or Marketing Analytics initiatives
- Proven experience leading projects and mentoring data science teams
- Strong executive communication and storytelling skills
- Knowledge of Responsible AI principles, AI governance, and emerging AI technologies including Generative AI
- Ability to thrive in a fast-paced, highly collaborative, cross-functional global environment
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as robust with multiple plan options and access to onsite/virtual LifeConnections Health Centers on major campuses. Company materials also highlight mental-health resources and comprehensive preventive care, supporting strong core medical benefits.
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Leave & Time Off Breadth — Time away includes company‑wide recharge days, a paid birthday, a year‑end shutdown, and paid Critical Time Off for emergencies. Paid volunteer days further expand opportunities to step away and recharge.
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Parental & Family Support — Policies include a global minimum for paid parental leave for primary caregivers, caregiving concierge services, and on‑site children’s learning centers in select locations. In the U.S., family‑building support is consolidated under Carrot with a defined lifetime maximum, indicating structured assistance across fertility, preservation, adoption, and surrogacy.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
