Director, Data Science

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Kyndryl

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2021

🏢 Enterprise

🔒 Cybersecurity

☁️ SaaS

Enterprise • Cybersecurity • SaaS

Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.

📋 Description

• Define and execute data science strategy aligned to business objectives and KPIs • Lead and mentor data scientists and analysts • Drive workforce transformation and modernization initiatives aligned with business strategy and operating model evolution • Establish modeling, analytics, and governance best practices • Design KPI frameworks for WF optimization, utilization, NPS, revenue and other operational metrics • Build and scale Power BI dashboards and reporting ecosystems • Deliver agentic AI solutions to automate workflows • Translate complex analytics into business insights for executives

🎯 Requirements

• Advanced data analysis and statistical modeling expertise • Experience in developing and managing forecasting models across: Revenue planning • Utilization optimization • Workforce (WF) supply and demand balancing • Strong Power BI experience (dashboards, semantic models, KPI reporting) • Experience with agentic AI or AI-driven workflow automation • Deep understanding of delivery/professional services KPIs (demand/supply, utilization, NPS, revenue) • Strong executive communication skills • Experience building enterprise data governance frameworks

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development