Senior Manager of Business Operations - Engineering Strategy, Planning & Analytics

Zscaler•San Jose, CA

8d•Hybrid

About The Position

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. We are looking for a Senior Manager of Business Operations - Engineering Strategy, Planning & Analytics to join our Zero Trust Exchange team. This is a hybrid role (onsite 3 days a week) in San Jose, CA reporting to the Senior Director, Engineering Operations, Zero Trust Exchange. We are looking for a Sr. Manager of BizOps - Engineering Strategy, Planning & Analytics to drive data-informed decision-making across the engineering organization. This role transforms complex data into actionable insights that inform both high-level strategy and day-to-day execution across the Software Development Lifecycle, while also leading planning, performance analytics, and operational rigor at scale.

Requirements

8+ years of experience in engineering operations, analytics, strategy, or technical program management, with a strong focus on data-driven decision-making
Advanced analytical skills (complex formulas, pivots, data modeling) and experience with SQL and data analysis tools
Proven experience managing cross-functional projects end-to-end, delivering insights and measurable business impact
Strong ability to interpret business and engineering metrics, connect multiple data sources, and communicate insights to senior stakeholders
Bachelor’s degree in Business Analytics, Finance, Math, Statistics, Economics, or related quantitative field

Nice To Haves

3+ years of experience managing analysts, data engineers, or operations teams
Strong proficiency in SQL, data visualization tools (e.g., Tableau), and data architecture concepts
Experience driving engineering productivity frameworks, capacity planning, or scalable planning & analytics systems, with familiarity in tools like Jira, Salesforce, or Confluence

Responsibilities

Lead quarterly and annual engineering planning cycles (Application Performance Monitoring (APM), headcount, budgeting), aligning investments with business priorities and ensuring accurate capacity modeling
Own and scale engineering planning processes (APM, headcount, budgeting, and forecasting), ensuring alignment with business priorities and financial targets
Responsible for Business Analytics for Engineering. Build and maintain data models, dashboards, reporting systems, and performance metrics that provide visibility into engineering productivity, cost efficiency, and delivery outcomes
Define and run operating cadences (QBRs, planning reviews, OKR interlocks) to establish a strong rhythm of business and ensure execution against goals
Communicate insights and business impact clearly to senior stakeholders, while driving process improvements, tooling enhancements (e.g., Jira), and scalable analytics frameworks