Integrating Manager of Growth Insights, Data and Analytics

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Join Keysight's central Data & Analytics organization as a key leader in the Growth Insights team. In this role, you will lead a team and collaborate across the organization to apply Advanced Analytics, Business Intelligence, and Generative AI techniques to uncover insights and drive data-informed growth strategies across Keysight's hardware, software, and services portfolio.

You will work cross-functionally with product, sales, marketing, and strategy teams to support enterprise-wide growth initiatives, reporting to a senior leader within the Data & Analytics organization.

Responsibilities

1. Team Leadership and Talent Development

• Manage, coach, and grow a high-performing team of analysts and / or machine learning engineers, promoting a culture of innovation, collaboration, and continuous learning.
• Provide technical direction, architectural oversight, and career mentorship.
• Define team objectives and success metrics aligned with enterprise priorities.

2. Program Execution and Delivery

Lead and guide a team to:

• Analyze Growth Opportunities: Collaborate with business stakeholders to explore complex growth challenges using data analytics, predictive modeling, and Gen AI tools to generate actionable insights.
• Develop AI-Enhanced Dashboards: Build and maintain dynamic, Gen AI-powered dashboards and reporting tools that provide foresight and prescriptive recommendations to business teams.
• Support ML Model Deployment: Assist in the implementation and monitoring of machine learning models for use cases such as sales recommendations, churn prediction, and financial forecasting.
• Enable Agentic AI Solutions: Contribute to the development and testing of Agentic AI workflows that automate growth-related tasks across platforms like Salesforce, Hubspot, Eloqua, and Oracle Cloud.
• Collaborate on Data Infrastructure: Work with Data Engineering to ensure data pipelines and architecture support scalable, AI-native analytics solutions.
• Promote Data Literacy: Help maintain the enterprise data catalog and support internal data literacy initiatives by enabling self-service analytics and sharing best practices.
• Deliver Executive Insights: Prepare data visualizations and summaries that support strategic decision-making by senior leadership, including the Chief Data & Analytics Officer.

3. Functional & Cross-Domain Focus

• Align initiatives with key business domains such as Sales (lead scoring, renewals), Service (case triage), Finance (forecasting), Order Fulfillment (ETA, risk), and Supply Chain (inventory planning, logistics optimization).
• Collaborate with business owners to prioritize high-impact Business Intelligence use cases and ensure adoption and value realization.

4. Technology & Architecture Oversight

• Partner with data platform and infrastructure teams to scale BI platforms and ML solutions using Snowflake, Datarobots, and enterprise cloud platforms (AWS, Azure, GCP).
• Ensure ML models integrate seamlessly with business systems such as Salesforce, Oracle Fusion Cloud, and other operational tools.

Required:

• Bachelor's or Master's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Mathematics)
• 8+ years of experience in Data Analytics, Business Intelligence, or Data Science, , with 3+ years in a technical leadership or management capacity.
• Expert analytical skills to translate data into business insights
• Experience working with cross-functional stakeholders, managing multiple priorities to deliver data driven business intelligence and/or solutions.
• Strong communications skills and affinity for data storytelling and data storyboards to communicate the 'why'
• Significant experience with Generative AI and Machine Learning concepts and tools
• Proven experience building and deploying machine learning solutions in production environments.
• Proficient in Python or R, and SQL queries
• Highly experienced with BI tools such as Power BI and Tableau

Preferred:

• Experience supporting business functions such as Sales, Finance, or Supply Chain with applied ML.
• Strong understanding of MLOps practices, model lifecycle management, and pipeline automation.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and enterprise data tools (Snowflake, dbt, Matillion).
• Exposure to enterprise platforms such as Oracle Fusion Cloud, Salesforce, or ServiceNow.

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.

California Pay range: $167,810.00 - $306,870.00

Colorado pay range: $155,370.00 - $258,950.00

District of Columbia pay range: $155,370.00 - $258,950.00

Hawaii pay range: $155,370.00 - $258,950.00

Illinois pay range: $155,370.00 - $258,950.00

Maryland pay range: $167,810.00 - $279,680.00

Massachusetts pay range: $167,810.00 - $279,680.00

Minnesota pay range: $155,370.00 - $258,950.00

New Jersey City pay range: $167,810.00 - $279,680.00

New York pay range: $184,120.00 - $306,870.00

Vermont pay range:$155,370.00 - $258,950.00

Washington state pay range: $155,370.00 - $258,950.00

Note: For other locations, pay ranges will vary by region

This role is eligible for <> Keysight Results Bonus Program OR Pay For Results Bonus Program OR Sales Incentive Program

US Employees may be eligible for the following benefits:

• Medical, dental and vision
• Health Savings Account
• Health Care and Dependent Care Flexible Spending Accounts
• Life, Accident, Disability insurance
• Business Travel Accident and Business Travel Health
• 401(k) Plan
• Flexible Time Off, Paid Holidays
• Paid Family Leave
• Discounts, Perks
• Tuition Reimbursement
• Adoption Assistance
• ESPP (Employee Stock Purchase Plan)
• Restricted Stock Units