Data Manager

1 Month ago • 10-15 Years

Job Summary

Job Description

We are looking for a skilled Data Manager to lead the development, governance, and utilization of enterprise data systems, ensuring a secure and seamless flow of data for actionable insights. The role involves optimizing data systems for business intelligence, implementing data governance, quality, and security frameworks, and leading a team of engineers to build and maintain cloud-native platforms. Key responsibilities include developing data management policies, designing secure data processes, monitoring data quality, overseeing data integration, supporting data-driven decisions, ensuring compliance with regulations like GDPR and HIPAA, troubleshooting data issues, and maintaining system security. The role also involves evaluating new data tools, automating cloud operations with infrastructure as code and DevOps practices, and facilitating inter-team communication.

Must have:

Develop and enforce data management policies.
Design secure data collection, storage, and sharing processes.
Monitor and enhance data quality, consistency, and lineage.
Oversee integration of data from multiple systems.
Support data needs and reporting for stakeholders.
Maintain compliance with GDPR and HIPAA.
Troubleshoot data issues and implement resolutions.
Ensure digital data system security.
Evaluate and recommend new data tools and architectures.
Support documentation and develop architectural diagrams.
Automate cloud operations using IaC and DevOps.
Facilitate inter-team communication.
Manage, mentor, and grow data engineering team.
Lead cross-functional collaboration with engineering and product teams.
Conduct architecture and PR reviews.
Bachelor’s or Master’s degree in Computer Science or related field.
10–15 years of experience in data architecture/governance.
Expertise in SQL, data modeling, and data tools (Snowflake, dbt).
Deep understanding of AWS cloud services.
Proficient in Python, Bash, and CI/CD pipelines.
Experience with ETL/ELT orchestration (Airflow, Prefect).
Strong understanding of DevOps, Terraform, containerization.
Solid grasp of data security and compliance.

Good to have:

Experience in healthcare analytics.
Familiarity with EHR/EMR systems (Epic, Cerner).
Understanding of healthcare data privacy and clinical workflows.

Perks:

Competitive compensation with performance-based bonuses.
Hybrid and flexible work environment.
Career development programs and learning support.
Diverse and collaborative culture.

12 skills required

12 skills required for this role

Add these skills to join the top 1% applicants for this job

team-management

cross-functional

communication

data-analytics

cross-functional-collaboration

aws

business-intelligence

terraform

ci-cd

python

sql

bash

Job Details

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.