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Top Hybrid Data Management Jobs in New York City, NY
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Manager in Forensic Technology Analytics, you will lead teams to manage complex client investigations, analyze data, and develop strategic solutions while ensuring effective team collaboration and personal development. Your role includes overseeing data management, technical investigations, and providing insights to clients in various industries.
Top Skills:
Microsoft SqlOraclePython
Fintech • Machine Learning • Payments • Software • Financial Services
As a Sr. Business Manager, you will lead a team focused on transforming customer data into actionable insights to enhance Capital One's products and services. Responsibilities include strategic leadership, product development, credit risk assessment, and managing multiple projects to drive effective customer experience improvement.
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Manager, Data Science will lead a team using machine learning and statistical modeling to analyze transaction data and deliver products that enhance customer experiences. Responsibilities include building models, mentoring data scientists, and collaborating with cross-functional teams to identify insights and address challenges in the financial services industry.
Top Skills:
Python
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
As a Data Science Manager at ZS, you will lead the development of ML-based enterprise products, drive AI solutions, engage with clients, and contribute to strategy and thought leadership. You will work with hybrid teams to solve complex business problems and deploy AI solutions into production.
Top Skills:
Python
Featured Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Integrated Analytics Lead at Pfizer will define and manage the analytics strategy for the brand, overseeing the performance optimization across marketing initiatives. This role involves data collection, analysis, and implementing insights to improve marketing effectiveness and patient experience through integrated analytics.
Top Skills:
AnalyticsMarketing
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Real World Data Insights Director will lead the establishment of insights capabilities to inform investment decisions regarding Pfizer's pipeline. This role involves collaborating with various stakeholders, leveraging real-world data, and conducting qualitative and quantitative analyses to provide actionable insights and strategic recommendations.
Top Skills:
PythonR
Financial Services
As a Data Owner Lead, you will implement strategic plans for data solutions that enhance business operations, manage project execution while mitigating risks, ensure clear documentation and govern critical data, and support analytics integration, fostering a data-driven culture across the organization.
Top Skills:
Data GovernanceData Management
Financial Services
As a Vice President, Data Scientist at PricingDirect, you will lead the integration of AI and ML into financial valuations, oversee model governance, and collaborate with diverse teams to innovate data science practices, ensuring accurate and timely financial insights.
Top Skills:
JavaPythonR
Financial Services
The Data Owner Director will lead data initiatives that enhance business operations and analytics, ensuring high data quality and governance. Responsibilities include collaborating with stakeholders, managing data integration, directing data strategy, and overseeing governance processes. This role demands strong leadership and strategic thinking to transform data into a key organizational asset.
Top Skills:
Computer ScienceData AnalyticsData ScienceInformation Systems
AdTech • Digital Media • Internet of Things • Marketing Tech • Mobile • Software
The Director of B2B Analytics will lead a team of analysts to uncover trends and insights to improve customer interactions and retention. Responsibilities include managing stakeholder relationships, aligning KPIs with business goals, and ensuring data-driven decision making. The role also requires strong collaboration with various departments and the ability to recommend innovative solutions based on data analysis.
Top Skills:
PythonSQL
AdTech • Digital Media • Internet of Things • Marketing Tech • Mobile • Retail • Software
The Director Strategy Analytics & Operational Execution leads data-driven decision-making to improve customer experience and operational efficiency. Responsibilities include strategic planning, performance tracking, advanced analytics, and cross-functional collaboration to enhance the Altice customer journey and support business growth.
Top Skills:
AnalyticsData AnalysisData VisualizationMachine LearningReporting
Cloud • Insurance • Professional Services • Analytics • Cybersecurity
The Data Analytics Senior Consultant will leverage analytical and technical skills to enhance CNA's underwriting strategies through the development of automated scorecards, scenario analysis tools, and business insights. This role involves collaboration with senior leadership and various teams to drive significant business impacts and improve processes across commercial insurance products.
Top Skills:
Microsoft PowerbiSQL
Fintech • Mobile • Social Impact • Financial Services
As the Analytics Manager for Growth & Marketing, you will develop user acquisition strategies, collaborate across teams to enhance user engagement, create executive-level performance narratives, and mentor a direct report. Your role focuses on data-driven decision-making to optimize marketing efforts and improve retention rates for a financial health company.
Top Skills:
PythonSQL
AdTech • Digital Media • News + Entertainment
The Manager of Data Science will lead a team in developing and deploying machine learning models to enhance commerce payment products on Disney's streaming platforms. Responsibilities include managing the ML development lifecycle, conducting data analyses, translating data into insights, and fostering strong collaborations with cross-functional teams.
Top Skills:
PysparkPythonSparkSQL
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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