Top Remote Senior Data Management Jobs in NYC, NY

The Manager of Data Engineering will lead a team of six data engineers, focusing on technical leadership, mentoring, fostering team culture, and managing project timelines. This role involves collaborating with product management, driving the design of Canoe's data platform, and ensuring successful project execution.

The Senior Operations Manager at Carrot Fertility will act as an SME and advisor to senior leaders on workforce planning, resource capacity, and hiring strategies. Responsibilities include building cross-functional relationships, managing capacity planning metrics, and developing tools for decision-making to enhance operational efficiency.

As an Analytics Manager at Affirm, you will support a Revenue segment to drive growth strategy, provide data-driven insights, and optimize decision-making. You will be a strategic partner, establish KPIs, drive analytics solutions, and scale impact across the organization.

As a Senior Business Designer, you will analyze product viability, develop business models, design new profitable ventures, create financial models, and shape market strategies. Your role involves collaboration with stakeholders, coordinating teams, and conducting competitive analyses to establish growth and success criteria for new products.

As the Operations & Analytics Manager at Aptos Foundation, you will develop and execute operational strategies, manage resources, enhance execution efficiency, conduct data analytics to drive decision-making, and implement risk management strategies. You will collaborate with various departments, ensuring a smooth operational flow in support of the foundation's growth and mission.

The Financial Systems and Data Analytics Lead will design and implement systems for financial data analytics while collaborating with various teams to automate accounting processes, enhance reporting, and support company growth in preparation for an IPO.

The VP of Data Engineering at Axios will lead data engineering, data science, and analytics teams, manage engineering best practices, define the data platform strategy, and foster an inclusive team culture. They will ensure alignment with executive goals, maintain data quality, and support cross-functional teams in achieving company initiatives.