Data Manager

Role OverviewWe are seeking a highly skilled and experienced Data Manager to lead the development, governance, and utilization of enterprise data systems. This is a strategic leadership role focused on ensuring seamless and secure flow of data across our platforms and teams, enabling timely and accurate access to actionable insights.The ideal candidate brings a strong foundation in data architecture, governance, and cloud-native systems, combined with hands-on experience managing cross-functional teams and implementing scalable, secure, and cost-efficient data solutions.

Your Objectives

• Optimize data systems and infrastructure to support business intelligence and analytics.
• Implement best-in-class data governance, quality, and security frameworks.
• Lead a team of data and software engineers to develop, scale, and maintain cloud-native platforms.
• Support data-driven decision-making across the enterprise

Key Responsibilities

• Develop and enforce policies for effective and ethical data management.
• Design and implement secure, efficient processes for data collection, storage, analysis, and sharing.
• Monitor and enhance data quality, consistency, and lineage.
• Oversee integration of data from multiple systems and business units.
• Partner with internal stakeholders to support data needs, dashboards, and ad hoc reporting.
• Maintain compliance with regulatory frameworks such as GDPR and HIPAA.
• Troubleshoot data-related issues and implement sustainable resolutions.
• Ensure digital data systems are secure from breaches and data loss.
• Evaluate and recommend new data tools, architectures, and technologies.
• Support documentation using Atlassian tools and develop architectural diagrams.
• Automate cloud operations using infrastructure as code (e.g., Terraform) and DevOps practices.
• Facilitate inter-team communication to improve data infrastructure and eliminate silos.

Leadership & Strategic Duties

• Manage, mentor, and grow a high-performing data engineering team.
• Lead cross-functional collaboration with backend engineers, architects, and product teams.
• Facilitate partnerships with cloud providers (e.g., AWS) to leverage cutting-edge technologies.
• Conduct architecture reviews, PR reviews, and drive engineering best practices.
• Collaborate with business, product, legal, and compliance teams to align data operations with enterprise goals.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10–15 years of experience in enterprise data architecture, governance, or data platform development.
• Expertise in SQL, data modelling, and modern data tools (e.g., Snowflake, dbt, Fivetran).
• Deep understanding of AWS cloud services (Lambda, ECS, RDS, DynamoDB, S3, SQS).
• Proficient in scripting (Python, Bash) and CI/CD pipelines.
• Demonstrated experience with ETL/ELT orchestration (e.g., Airflow, Prefect).
• Strong understanding of DevOps, Terraform, containerization, and serverless computing.
• Solid grasp of data security, compliance, and regulatory requirements

Preferred Experience (Healthcare Focused)

• Experience working in healthcare analytics or data environments.
• Familiarity with EHR/EMR systems such as Epic, Cerner, Meditech, or Allscripts.
• Deep understanding of healthcare data privacy, patient information handling, and clinical workflows

Soft Skills & Team Fit

• Strong leadership and mentoring mindset.
• Ability to manage ambiguity and work effectively in dynamic environments.
• Excellent verbal and written communication skills with technical and non-technical teams.
• Passionate about people development, knowledge sharing, and continuous learning.
• Resilient, empathetic, and strategically focused.

What We Offer

• Competitive compensation with performance-based bonuses.
• Hybrid and flexible work environment.
• Career development programs and learning support.
• A diverse and collaborative culture driven by innovation and impact.