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Role Overview
We 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.
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