The Manager, Data Platform is responsible for leading Business Intelligence engineering team, while also driving Fullstack application development and AI-driven initiatives.

This role requires strong leadership, deep technical expertise in BI platforms, and the ability to integrate modern technologies to deliver data-driven insights and innovative solutions.

Duties & Responsibilities :

Leadership & Strategy :

- Own the strategy, design, and delivery of enterprise BI solutions.

- Drive implementation and optimization of BI tools (Power BI, Amazon QuickSight & Tableau).

- Ensure data accuracy, governance, and performance for dashboards and reporting systems.

- Oversee development of scalable web applications and APIs using modern frameworks (Angular, Node.js, .NET).

Platform Development & Operations :

- Lead the end-to-end design, implementation, and maintenance of Web applications & robust BI solutions.

- Ensure high availability, scalability, and performance of Web applications & BI solutions.

- Implement monitoring, alerting, and disaster recovery strategies of Web applications & BI solutions.

- Own and drive the resolution of technical debt to support delivery and long-term product health.

AI-driven Initiatives :

- Partner with Data Science teams to integrate AI/ML models into BI and analytics workflows.

- Lead AI engineering efforts including MLOps practices for model deployment and monitoring.

Collaboration & Stakeholder Management :

- Work closely with business leaders to understand requirements and translate them into technical solutions.

Innovation & Continuous Improvement :

- Evaluate emerging technologies and tools to enhance the BI solutions.

- Foster a culture of innovation, accountability, and continuous improvement.

- Perform other duties as assigned.

Skills Required :

- Bachelors or Masters in Computer Science, Information Technology, or related field.

- 1315 years of experience in software engineering, with at least 35 years in BI leadership roles.

- Strong hands-on experience with BI tools (Power BI, Amazon QuickSight & Tableau) and data visualization best practices.

- Solid understanding of data modeling, ETL/ELT processes, and data warehousing.

- Experience in Fullstack development (Node.js, React/Angular, REST APIs).

- Exposure to AI/ML concepts and experience leading AI engineering projects.

- Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

- Excellent communication and stakeholder management skills.

- Experience working with a distributed development team and demonstrated knowledge of Agile

Scrum methodology.

- Ability to work well with global teams, including time-zone flexibility.

- Effective, clear, and concise communication skills and the ability to interface with leaders and staff at both an individual and group level.

Desired Skills And Qualifications :

- Familiarity with healthcare IT standards and compliance requirements.

- Excellent communication and stakeholder management skills.

- Strong problem-solving and decision-making abilities.

- Passion for building scalable, secure, and innovative data solutions.

- Experience in building self-service analytics platforms.

- Exposure to machine learning pipelines and MLOps.

- Prior experience in a product-led or SaaS company.