[Remote] Senior Manager, Data Engineering & Analytics

Note: The job is a remote job and is open to candidates in USA. CopilotIQ, together with Biofourmis, is transforming in-home healthcare through an AI-driven platform supporting patients across their health journeys. The Senior Manager, Data Engineering & Analytics will lead and scale the data function while contributing hands-on to data architecture, pipelines, analytics, dashboards, data quality, and customer-facing reporting.

Responsibilities

• Lead and develop a small global team across data engineering, analytics, and BI
• Own the architecture, reliability, and evolution of the analytical data platform
• Design and build scalable batch and event-driven pipelines across clinical, operational, product, financial, and customer data
• Establish strong data-quality practices, including testing, monitoring, lineage, reconciliation, alerting, and incident response
• Define trusted metrics, dimensional models, curated datasets, and semantic layers
• Deliver dashboards, recurring reports, customer reporting, self-service datasets, and actionable insights
• Partner directly with clinical, operations, product, finance, engineering, and commercial stakeholders
• Lead customer-facing discussions involving reporting requirements, metric definitions, discrepancies, and data-delivery issues
• Investigate complex data problems, identify root causes, and implement durable solutions
• Improve platform performance, cost efficiency, security, privacy, and maintainability
• Set priorities, review technical work, coach team members, and help scale the organization as the company grows
• Building and operating pipelines using AWS Glue, Lambda, SNS, S3, PySpark, and Amazon Redshift
• Developing and maintaining dbt models, Airflow workflows, data tests, and monitoring
• Designing dimensional models, star schemas, and curated analytical layers
• Using SQL and Python to investigate data, validate results, and solve production issues
• Building and reviewing dashboards and reports in Sigma, Looker, or similar BI tools
• Translating ambiguous business and customer needs into clear, scalable data solutions
• Taking business questions from discovery through metric definition, analysis, visualization, and recommendation
• Reviewing architecture, code, data models, dashboards, and analytical approaches
• Communicating findings, risks, limitations, and recommendations to technical and non-technical audiences
• Balancing strategic platform improvements with urgent operational and customer needs

Skills

• This is a remote, United States-based role
• * Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent experience
• * 5+ years of data engineering / data-platform experience
• * 2+ years of technical leadership experience and mentoring engineers
• * Deep hands-on experience designing, building, and operating production data platforms and pipelines
• * Strong experience with data architecture, ingestion, orchestration, transformation, modeling, warehousing, and performance optimization
• * Advanced SQL skills and strong proficiency in Python and PySpark
• * Experience with dbt, Apache Airflow, AWS Glue, or comparable tools
• * Experience designing dimensional models, star schemas, and curated analytical layers
• * Demonstrated ownership of data quality and reliability, including testing, monitoring, lineage, reconciliation, and operational support
• * Experience building dashboards, reports, semantic layers, and self-service datasets using Sigma, Looker, or comparable platforms
• * Strong backend engineering fundamentals, including APIs, distributed systems, and event-driven architecture
• * Experience working directly with customers, executives, and cross-functional stakeholders
• * Excellent written and verbal communication skills
• * Strong ownership, urgency, judgment, resourcefulness, and follow-through
• * A hands-on leadership style and willingness to personally solve difficult problems
• * Ability to lead effectively across time zones
• * Experience with healthcare data, payer data, clinical workflows, remote patient monitoring, or care-management operations
• * Working knowledge of HIPAA and secure handling of protected health information
• * Experience producing customer-facing healthcare or operational reporting
• * Experience leading a distributed or global team
• * Experience scaling a data function or hiring data engineering and analytics talent
• * Familiarity with Terraform or infrastructure as code
• * Experience with data governance, metric definitions, data catalogs, or semantic-layer initiatives
• * Familiarity with machine-learning techniques or platforms

Benefits

• This is a remote, United States-based role

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