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Brief about Fractal Analytics:
Fractal is a globally recognized Enterprise AI company with a vision to power human decision in the enterprise.
Fractal’s suite of businesses includes Asper.ai (enabling interconnected decisions for revenue growth) and Analytics Vidhya (one of the world’s largest data science communities). Fractal incubated Qure.ai, a global healthcare AI leader enhancing the rapid identification and management of tuberculosis, lung cancer, and stroke. Fractal’s dedicated AI research team is focused on foundational AI advancements, including knowledge-based foundational models, reasoning-based systems, and agentic systems. The team has launched successful products such as MarshallGoldsmith.ai, Vaidya.ai, Kalaido.ai, and the open-source reasoning model Fathom-R1-14B.
Fractal employs over 5,000 professionals across global locations, including the United States, Canada, UK, Netherlands, Ukraine, India, Singapore, South Africa, UAE, and Australia. It has consistently earned recognition as one of India’s Best Companies to Work For (Top 100, 2025), a ‘Great Workplace’ for eight consecutive years, and among ‘India’s Best Workplaces for Women’ for five years running by the Great Place to Work® Institute. Fractal was also named a Leader in the 2025 Forrester Wave™ for Customer Analytics Service Providers and earned leadership positions in the Everest Group Peak Matrix Assessment 2025 for AI and Analytics Services, and Information Services Group’s 2024 assessments for Data Engineering and Data Science Services.
We are looking for an Operational Lead who will be responsible for managing and optimizing the ongoing operations of Data Engineering & Business Intelligence services. This role ensures seamless production support, efficient incident management, continuous improvement, and operational excellence while aligning with business goals.
Need someone with strong leadership and technical skillet to ensure production related deliveries are delivered as defined. Should be able to collaborate with the team/internal & external stakeholders on functional and technical issues pertaining to production related solutions/applications/products.
Role Details
You will lead the operation team providing L1/L2/L3 support to a US based client working in the US time zone or working in a 24*7 support model. (as applicable).
Requirements:
- Experience: 7+ years in Data Engineering, BI Operations, or IT Service Management.
- Technical Knowledge: Hands-on experience with Data Pipelines, ETL, Cloud Platforms (Oracle/Azure/AWS/GCP), BI Tools (Power BI, Tableau, Looker) and/or Backend technologies.
- Service Management Expertise: ITIL framework, incident & change management, and SLA governance.
Responsibilities
Oversee day-to-day operations for Data Engineering & BI platforms, ensuring reliability and performance.
Manage SLAs, incident resolution (L1/L2/L3 support), and service requests efficiently.
Establish and enforce best practices for monitoring, alerting, and issue resolution.
Implement automation, proactive monitoring, and performance tuning to enhance system efficiency.
Lead root cause analysis (RCA) and problem management to reduce recurring issues.
Drive cost optimization strategies, including cloud resource efficiency and workload balancing.
Oversee CI/CD pipeline execution for deploying updates with minimal disruption.
Ensure compliance with governance, security, and data privacy policies across all operations.
Collaborate with development teams for smooth feature releases and enhancements.
Act as a bridge between business, data engineering, and BI teams, translating operational needs into actionable solutions.
Conduct QBRs, performance reviews, and service improvement plans with key stakeholders.
Mentor and guide operations team members, ensuring skill development and role clarity.
Preferred Certifications
ITIL Certification (Preferred)
Cloud Certifications (Azure DP-203, AWS Data Analytics, or GCP Data Engineer)
BI Tools Certifications (Power BI, Tableau)
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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