Senior Manager, Data & Analytics Platform

Senior Manager, Data & Analytics Platform

Columbus, OH - Hybrid or Remote

$131,000 - $219,000 + Bonus + Comprehensive Benefits

An established global healthcare and technology organisation is seeking a Senior Manager, Data & Analytics Platform to lead a team responsible for the operational management, support and optimisation of enterprise data and analytics platforms.

This is a leadership opportunity for an experienced data platform professional who combines strong technical knowledge with proven people management capabilities. You'll play a key role in ensuring the reliability, performance and scalability of critical analytics environments that support enterprise-wide data and business intelligence initiatives.

The Opportunity

Reporting into the Data Technology function, you will lead a team responsible for the administration, engineering and operational support of modern data and analytics platforms, including tools such as Databricks, Power BI and Tableau.

Working closely with architecture, security, cloud and analytics teams, you'll drive platform stability, improve service delivery, optimise cloud costs and help shape the future roadmap of enterprise analytics capabilities.

Key Responsibilities

Lead and develop a team of platform engineers responsible for supporting enterprise data and analytics environments

Ensure platform reliability, availability and performance through effective operational processes and monitoring

Manage user access, environment administration and security integration across analytics platforms

Oversee platform support requests, incident management and service delivery processes

Support the implementation and adoption of new platform capabilities for data engineering and analytics teams

Partner with architecture, cloud and security teams to ensure alignment with enterprise standards

Monitor cloud platform utilisation and identify opportunities for cost optimisation

Coordinate upgrades, patching activities and platform releases

Drive continuous improvement initiatives across platform operations and support models

Develop and maintain documentation, standards and operational procedures

Team Leadership

Manage and mentor a team of approximately 6-8 engineers

Establish clear goals, priorities and performance expectations

Support career development and technical growth within the team

Foster a culture of accountability, collaboration and operational excellence

About You

You'll bring a combination of technical platform expertise and leadership experience within enterprise data environments.

Required Experience

9+ years of professional experience within data, analytics or platform engineering environments

2+ years of people management experience

Hands-on experience supporting enterprise data and analytics platforms

Strong knowledge of Databricks, business intelligence tools and cloud-based data ecosystems

Experience operating within Azure cloud environments

Strong understanding of platform operations, service management, incident response and reliability practices

Ability to manage multiple priorities in a fast-paced environment

Excellent stakeholder management and communication skills

Preferred Experience

Experience supporting modern data platforms within a shared services model

Understanding of data engineering workflows and analytics delivery processes

Exposure to both legacy and modern technology environments

Experience supporting large-scale enterprise analytics functions

What's on Offer

Competitive salary of $131,000 - $219,000

Performance-related bonus opportunities

Comprehensive healthcare and wellbeing benefits

Career progression within a large-scale enterprise technology environment

Opportunity to influence the future of enterprise data and analytics platforms

Hybrid working arrangement, with remote candidates considered

If you're passionate about building high-performing teams and delivering reliable, scalable analytics platforms that enable data-driven decision making, we'd love to hear from you.

Job Type: Remote, Full-Time, Permanent