Data Storage Managed Services Technical Product Manager - CTO Office

Bloomberg is a data company. Delivering timely insights to our clients requires extensive specialized databases and data augmentation pipelines, fusing data from a variety of structured and unstructured data stores. Curating quality insights requires collecting data from sources built on a variety of open source and home-grown solutions, from streaming real-time market data to long-term data storage. In this role within the CTO Infrastructure team, you will develop the vision for Bloomberg’s managed data services, supporting the next evolution of structured and unstructured data storage. You will define unified products and capabilities, and partner tightly with engineering teams to develop the architecture and deliver these products, directly serving business needs. You will bring your technical expertise to help bridge business needs and technology delivery. You’ll need to have: - 10+ years of experience working on databases or unstructured data storage technologies as a developer. - Strong written and verbal communication skills. - A bachelor’s degree in systems engineering, electrical engineering or computer science, or equivalent. - A strong understanding of relational (SQL), non-relational (NoSQL) databases, from an operational, scale, and design perspective. - Ability to define and evaluate architectures for scalable, resilient, durable and high-performance data stores, including both geographically distributed on-premises and public cloud implementations. - Working knowledge of caching technologies, data access APIs, query languages, and data integration patterns. - Ability to work with or define SDKs or connectors for integration. - Familiarity with unstructured data storage technologies (such as Ceph with RADOS). - Knowledge of security and compliance controls, such as encryption at rest/in transit, access controls, integration into data governance regimes, and compliance standards. - Experience integrating security controls across diverse data storage technologies including secure by default configurations, Enterprise IAM (authentication & authorization), and encryption strategies in-transit (TLS) and at-rest (storage-level, TDE, and application/client-side methods). - Developer Experience Focus - User-centric approach, ability to synthesize user requirements and journeys for a wide variety of users (i.e. developers, data engineers, data scientists, etc.). - Define standards/policies, maturity levels and other guidelines to ensure consistency. - Focus on API-driven self-service enablement and management. - Product Management - Ability to develop, refine and communicate a compelling product vision and roadmap based on customer and stakeholder input, aligning with customer needs, business goals and engineering capabilities. - Strong ability to translate technical features into business value; interface with engineering, operations, legal, security teams as well as executive stakeholders. - Able to communicate with empathy to understand pain points for users. - An understanding of the use of KPI frameworks (OKRs, success metrics) to drive product outcomes. DORA - Ability to collaborate with others to evolve the enterprise data maturity model through data classification, data governance frameworks, and data catalog technologies - Good insight into integrating reliability, robustness, resilience, security and scalability into a roadmap, alongside customer features and capabilities. Able to make the right trade-off between technical debt and new features. We’d like to see: - 2+ years of experience as an infrastructure technical product manager or similar role focused on product development and “go to market” strategies. - A strong philosophy of creating reusable, reliable and robust shared services. - Experience with automation technologies (i.e. Ansible, Chef, Salt, etc.) for managing infrastructure at scale, as well as resource management technologies (e.g. Kubernetes, OpenStack). - Industry/community involvement in databases and data storage, through open source contribution, standards development, academic journals, conference presentations, or the equivalent. - Understanding of observability tools for performance monitoring for a variety of user personas. - AI-Related Database Technologies & Tools, including but not limited to Vector DBs for RAG, indexing methods, inference, etc. - Data lifecycle management techniques and technologies. Salary Range = 240,000 - 330,000 USD Annual + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.