Data Storage Managed Services Technical Product Manager - CTO Office

Data Storage Managed Services Technical Product Manager - CTO Office

Location: New York Business Area: Engineering and CTO Ref: 10048955

Description & Requirements

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 Bloombergs 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.

Requirements

• 10 years of experience working on databases or unstructured data storage technologies as a developer.
• Strong written and verbal communication skills.
• A bachelors 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.
• 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, and 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.
• 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.

Preferred Qualifications

• 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 Annually

Benefits

Bonus

The referenced salary range is based on the Companys 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, 401k match, life insurance, and various wellness programs, among others.

The Company does not provide benefits directly to contingent workers, contractors, and interns.

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