Sr Manager, Enterprise Data Engineering

Job Summary We are seeking a deeply technical Senior Manager to lead our data and machine learning engineering organization in India, reporting directly to the Director, Enterprise Data Engineering and Analytics. You will manage a talented team of data and ML engineers building foundational pipelines, lakehouse architectures, and MLOps platforms powering our global business. As a technical player-coach, you will empower engineers to take end-to-end ownership of scalable, high-impact data products and AI solutions. This role requires high agency and a passion for driving enterprise-scale data and ML workflows. Key Responsibilities Lead technical design and architecture of scalable enterprise data pipelines, lakehouse infrastructure, and end-to-end ML model development across key business domains, ensuring high availability and fault tolerance. Oversee deployment, serving, and scaling of machine learning models into production environments with robust MLOps practices, automated alerting, and continuous performance monitoring for drift and latency. Coach, mentor, and scale a high-performing team of data and ML engineers through structured technical guidance, code reviews, and career development, fostering engineering rigor and team autonomy. Partner closely with global data science, technical, and business leaders to translate complex analytical and strategic business needs into robust, production-grade technical workflows. Establish rigorous operational standards for data freshness, pipeline resilience, automated CI/CD for machine learning systems, and enterprise data governance. Foster an AI-first mindset across the organization, promoting generative AI tooling, automated workflows, and innovative engineering practices. Define sprint goals and establish roadmap prioritization for the team to align engineering execution with high-impact business outcomes. Track and enforce key data quality metrics, data lineage, SLA compliance, and observability frameworks across all data products. Qualifications Required Qualifications 12+ years of total experience in data engineering, MLOps 7+ years of experience directly managing data and/or machine learning engineering teams. Hands-on fluency in modern data platforms (especially GCP), distributed computing, and orchestration. Strong proficiency in core programming languages including Python and SQL. Extensive experience with the machine learning lifecycle, MLOps best practices, and relevant operational frameworks. Preferred Qualifications Demonstrated player-coach mindset with the ability to dive into code reviews and ML architecture discussions. Proven track record of delivering high-throughput, enterprise-scale data and AI solutions. Experience collaborating across global time zones with US and international stakeholders. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position. Please use this form to provide us with information that will help direct your request and find your data in all of our systems