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Jobs · Information Technology · New Jersey

Manager Data Analytics and Engineering

Capital Health (US) · Pennington, NJ · 1 mo ago
Information Technology$124k–$162k/yrFull-time

Position Overview

The Manager of Data Analytics & Engineering is responsible for leading the design, development, and operational support of Capital Health’s enterprise data platforms and data pipelines. This role ensures that data engineering capabilities align with organizational strategy, IT operations, and enterprise architecture standards.

About the Role

This role provides leadership to the data analytics and engineering team, drives operational excellence, and partners with business and clinical stakeholders to deliver reliable, scalable, and secure data solutions.

Responsibilities

  • Lead, mentor, and develop a team of data engineers.
  • Establish team goals aligned with IT Operations and enterprise priorities.
  • Foster a culture of reliability, accountability, and continuous improvement.
  • Oversee hiring, workforce planning, and performance management.
  • Design and maintain scalable enterprise data platforms (data warehouse, data lake, lakehouse).
  • Ensure alignment with enterprise IT architecture, standards, and governance.
  • Partner with infrastructure and cloud teams to optimize performance, cost, and resiliency.
  • Ensure high availability, disaster recovery readiness, and operational stability.
  • Oversee development and maintenance of ETL/ELT pipelines.
  • Ensure data pipelines meet SLAs for performance, quality, and uptime.
  • Implement monitoring, alerting, and incident response processes.
  • Drive automation, standardization, and operational efficiency.
  • Collaborate with IT Operations on deployment, monitoring, and support of data platforms.
  • Ensure data systems integrate effectively into enterprise support models.
  • Contribute to ITSM processes including incident, problem, and change management.
  • Support audit, compliance, and risk management initiatives.
  • Partner with BI, analytics, clinical, and business teams to deliver data solutions.
  • Translate business needs into scalable technical designs.
  • Work closely with security, governance, and enterprise architecture teams.
  • Implement and enforce data quality standards, monitoring, and stewardship practices.
  • Ensure compliance with data privacy, regulatory, and security requirements.
  • Evaluate and implement modern data technologies and tools.
  • Stays current with industry trends and recommends improvements to platforms and processes.
  • Contributes to long term data strategy and modernization initiatives.

Requirements

  • Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field required. Additional years of experience may be considered in lieu of a formal degree.
  • Experience: Five years of progressively responsible experience in data engineering or related technical disciplines, including two years of leadership or people management experience if accompanied by a Bachelor's degree. Eight years of progressively responsible experience in data engineering, or related technical field including two years of leadership or people management experience if accompanied by a high school diploma or equivalent.
  • Experience working in enterprise IT environments required.
  • Knowledge and Skills: Strong leadership and operational management capabilities. Ability to align data initiatives with organizational and IT strategy. Excellent communication and cross functional collaboration skills. Focus on reliability, scalability, and performance. Strategic thinker with strong execution and follow through. Strong SQL and Python skills required. Experience with modern data platforms (Snowflake, Databricks, Redshift, BigQuery). Experience with ETL/ELT tools (dbt, Airflow, Informatica, Talend, etc.). Cloud platform experience (Azure, AWS, or GCP). Distributed data processing experience (Spark). Data modeling expertise (dimensional and normalized). Familiarity with CI/CD, DevOps, and infrastructure as code practices.

Qualifications

  • Preferred: Experience working within IT Operations or Infrastructure organizations. Familiarity with ITSM frameworks (e.g., ITIL). Experience with monitoring/observability tools. Exposure to real time/streaming technologies (Kafka, Kinesis). Cloud certifications (Azure, AWS, or GCP) preferred.

Skills

  • Strong leadership and operational management capabilities.
  • Ability to align data initiatives with organizational and IT strategy.
  • Excellent communication and cross functional collaboration skills.
  • Focus on reliability, scalability, and performance.
  • Strategic thinker with strong execution and follow through.
  • Strong SQL and Python skills.
  • Experience with modern data platforms (Snowflake, Databricks, Redshift, BigQuery).
  • Experience with ETL/ELT tools (dbt, Airflow, Informatica, Talend, etc.).
  • Cloud platform experience (Azure, AWS, or GCP).
  • Distributed data processing experience (Spark).
  • Data modeling expertise (dimensional and normalized).
  • Familiarity with CI/CD, DevOps, and infrastructure as code practices.

Benefits

The pay range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining base salary and/or rate, several factors may be considered including, but not limited to location, years of relevant experience, education, credentials, negotiated contracts, budget, market data, and internal equity. Bonus and/or incentive eligibility are determined by role and level. The salary applies specifically to the position being advertised and does not include potential bonuses, incentive compensation, differential pay or other forms of compensation, compensation allowance, or benefits health or welfare. Actual total compensation may vary based on factors such as experience, skills, qualifications, and other relevant criteria.

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