Director, Data & ML Platform

About the Role:
The charter of the Data + ML/GenAI Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML model development lifecycle, ML engineering, and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. The data sets we process are composed of various facets including telemetry data, associated metadata, IT asset information, contextual formation about threat exposure, and many more. These facets comprise the overall data platform, which is currently over 500 PB and maintained in a hyper scale Data Lakehouse.

We are seeking a strategic and technically savvy leader to head our Data and ML Platform team. As the head, you will be responsible for defining and building our ML Experimentation Platform from the ground up, while scaling our data and ML infrastructure to support various roles including Data Platform Engineers, Data Scientists and Threat Analysts. Your key responsibilities will involve overseeing the design, implementation, and maintenance of scalable ML pipelines for data preparation, cataloging, feature engineering, model training, model serving, and in-field model performance monitoring. These efforts will directly influence critical business decisions. In this role, you'll foster a production-focused culture that effectively bridges the gap between model development and operational success. Furthermore, you'll be at the forefront of spearheading our ongoing Generative AI investments. The ideal candidate for this position will combine strategic vision with hands-on technical expertise in machine learning and data infrastructure, driving innovation and excellence across our data and ML initiatives. We have a team based in Bengaluru, India and this leader will help us expand the team, while also charting its explosive growth towards an AI-powered platform for ML development.

What You'll Do:

Strategic Leadership

• Define the vision, strategy and roadmap for the organization's data and ML platform to align with critical business goals.

• Help design, build, and facilitate adoption of a modern Data+ML/Gen AI platform

• Stay updated on emerging technologies and trends in data platform, ML Ops and AI/ML

Team Management

• Build a team of Data and ML Platform engineers and work effectively with a team distributed across the US and India

• Foster a culture of innovation and strong customer commitment for both internal and external stakeholders

Platform Development

• Oversee the design and implementation of a platform containing data pipelines, feature stores and model deployment frameworks.

• Experience leveraging Agentic/GenAI technologies to speed up SDLC from months to weeks without compromising on code quality

• Develop and enhance ML Ops practices to streamline model lifecycle Management from development to production.

Data Governance

• Institute best practices for data security, compliance and quality to ensure safe and secure use of AI/ML models.

Stakeholder engagement

• Partner with product, engineering and data science teams to understand requirements and translate them into platform capabilities.

• Communicate progress and impact to executive leadership and key stakeholders.

Operational Excellence

• Establish SLI/SLO metrics for Observability of the Data and ML Platform along with alerting to ensure a high level of reliability and performance.

• Drive continuous improvement through data-driven insights and operational metrics.

What You'll Need:

• B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 10+ years related experience or M.S. with 8+ years of experience or Ph.D with 6+ years of experience.

• 10+ years experience in data engineering, ML platform development, or related fields with at least 5 years in a leadership role.

• Familiarity with typical machine learning algorithms from an engineering perspective familiarity with supervised / unsupervised approaches: how, why and when labeled data is created and used.

• Knowledge of ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI, Frontier AI models, etc.

• Experience with modern ML Ops platforms such as MLFLow, Kubeflow or SageMaker preferred.Experience in data platform product(s) and frameworks like Apache Spark, Flink or comparable tools in GCP and orchestration technologies (e.g. Kubernetes, Airflow). Experience with Apache Iceberg is a plus.

• Deep understanding of machine learning workflows, including model training, deployment and monitoring.

• Familiarity with data visualization tools and techniques.

• Experience with boot strapping new teams and growing them to make a large impact.

• Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes.

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Benefits of Working at CrowdStrike:

• Market leader in compensation and equity awards

• Comprehensive physical and mental wellness programs

• Competitive vacation and holidays for recharge

• Paid parental and adoption leaves

• Professional development opportunities for all employees regardless of level or role

• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

• Vibrant office culture with world class amenities

• Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

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