Top Senior Level Data Management Jobs in NYC, NY

The Director of Video Streaming Analytics will lead a team focused on monitoring and improving video playback experiences across a global streaming platform. Responsibilities include developing strategies for data analysis, defining KPIs, communicating insights to senior leadership, and collaborating with cross-functional teams to enhance streaming performance.

The Senior Architect will provide guidance on DataBricks, design data flow and processing pipelines, manage data architecture, assist clients with data management, and coach consultants. The role includes ensuring data integrity and coordinating with application owners for analytics integration.

As the Director of People Analytics, you will lead a team of HR analysts, transform data into impactful insights, integrate analytics into operational processes, and collaborate with executives for strategic initiatives. Your focus will be on employee lifecycle metrics, diversity & inclusion, and enhancing reporting and analytics capabilities across HR systems.

The VP of Customer Insights and Analytics is responsible for leading the customer insights function within MetLife's marketing organization. This includes directing strategic projects to analyze customer behavior, managing market research initiatives, and using analytics to enhance marketing execution and customer experiences.

The Director for Data Infrastructure will lead the development of the company's data technology stack, manage the centralized data architecture, ensure data quality and integrity, and collaborate with various business leaders to support the organization's data needs as it scales.

As a Data Quality Lead, you will advance the data quality management capabilities for the Fusion platform, working with data product owners and technology teams to ensure effective data controls and enhance customer experience. Responsibilities include managing data quality challenges, training staff, documenting requirements, and facilitating solutions to improve data accuracy and insights.

The Research Analyst will conduct in-depth analysis of securitized products including ABS and CMBS, formulate investment recommendations, monitor market trends, develop predictive models, and mentor junior staff while collaborating with various internal and external stakeholders.

The Data Governance Lead-Vice President will develop and enhance governance practices, oversee production of governance materials, manage documentation updates, and ensure alignment with regulatory standards. This role involves crafting presentations, establishing partnerships, analyzing stakeholder feedback, and collaborating with cross-functional teams to drive continuous improvement in data governance practices.

The Sr. Director of Data Engineering will lead teams to deliver scalable data products and platforms, ensuring best practices in data engineering. Responsibilities include developing data strategies, leading a team of over 70 engineers, partnering with Product and Design teams, and managing high expectations regarding data. The role requires innovative thinking and strong leadership skills to attract top talent and drive the enterprise's data capabilities forward.

The Manager of Ontology and Data Modeling will develop and implement enterprise ontologies, work with multiple teams to integrate semantic technology, and prioritize the Ontology and Data Modeling roadmap to meet business objectives. Responsibilities also include mentoring junior associates and advocating for ontology-related initiatives.

As a Manager, Data Scientist, you will lead the development of generative AI-based solutions for financial data analysis. Collaborate with a cross-functional team, fine-tune large language models, manage data annotation projects, and optimize data and model pipelines to deliver impactful products.