Director, Data
Listed on 2026-02-12
-
IT/Tech
Data Engineer, Data Science Manager, Data Security, Data Analyst
Sony Corporation of America
, located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing, and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, Sony creates and delivers more entertainment experiences to more people than anyone else on earth.
To learn more: .
POSITION SUMMARY
Sony Corporation of America is seeking a Director, Data to join the CISD, GSIRT in Reston, VA.
Reporting to the Sr. Director, this role sets the vision and strategy for the data platform, ensuring alignment with business goals and scalability. Responsibilities include overseeing data architecture, defining governance frameworks, and driving the development of scalable processes. Additionally, they will build and mentor a high-performing data team, raise data literacy, and ensure program execution aligns with enterprise architecture and security policies.
This team is pivotal in securing Sony’s information assets, building trust with customers, and protecting privacy.
JOB RESPONSIBILITIES
- Set the vision and strategy for the data platform for Information Security operations, ensuring it aligns with the organization's business goals and future scalability.
- Lead and oversee the development and execution of the long-term technology roadmaps across analytics, data engineering, and data platforms to drive innovation and scalability.
- Provide thought leadership in emerging trends, technologies, and best practices in the data ecosystem.
- Provide leadership and oversight of the architecture of data systems, including log management systems, Security Information and Event Management (SIEM) platforms, databases, data warehouses, and data lakes, ensuring scalability, security, and compliance.
- Define data governance frameworks, data standards, and best practices to ensure data integrity, security, and accessibility.
- Establish and enforce data access controls, security measures, and compliance requirements across the organization.
- Knowledge of how data platforms must be built to support large workloads, including model training, deployment, and monitoring, ensuring teams can efficiently use the platform for their needs.
- Drive the development and implementation of scalable extract, transform, and load (ETL) processes to enable seamless data ingestion from multiple sources.
- Lead data infrastructure optimization efforts to enhance performance, reduce costs, and support future growth.
- Simplify the existing data architecture by delivering reusable services and optimizing resource utilization.
Collaboration:
- Partner with key business stakeholders to uncover opportunities, translate business needs into data solutions, and secure strong engagement.
- Work closely with cross-functional teams to prototype and develop minimum viable data products that deliver tangible business value.
- Ensure data products and services are embedded into business workflows and their impact is continuously measured.
- Evaluate, recommend, and implement emerging technologies for data management, storage, and analytics.
- Foster a culture of innovation by exploring new data sources and analytical methods to meet evolving business needs.
- Lead initiatives to drive the adoption of AI/ML technologies in a secure manner to enhance data-driven decision-making.
- Build and mentor a high-performing data team, fostering a culture of collaboration, innovation, and excellence.
- Raise the level of data literacy within the organization through evangelization, training, and awareness initiatives.
- Drive execution of data initiatives through the full lifecycle from RFP to deployment, following the Plan, Do, Check, Act model.
- Ensure alignment of data initiatives with enterprise architecture and security policies, standards, and governance frameworks.
- Regularly communicate insights and updates to leadership, influencing strategic decisions.
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field preferred.
- 10+ years of experience in data platform architecture, data management, and data product development.
- Proven leadership in managing enterprise-level data initiatives, aligning technology strategies with business goals.
- Expertise in modern data architectures, including data lakes, data warehouses, streaming data, and cloud platforms, with a focus on proper implementation.
- Understanding of AI/ML, advanced analytics, and data science to enable innovation and insights, supporting large workloads including model training, deployment, and monitoring.
- Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud, and their data services.
- Leadership or hands-on experience with…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).