Job Description

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.