The Cigna Group
SoftwareEngineeringSeniorManager
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineering Senior Manager at The Cigna Group. Skills: technical leadership, data pipelines, reporting applications, cloud‑based solutions, AI‑enabled capabilities, engineering practices, team leadership. Lead the design, development, and evolution of data pipelines, transformations, and reporting applications. Drive modernization of legacy data platforms toward cloud‑based and scalable solutions”
What You'll Achieve.
deliver accurate, timely insights; help teams move faster with confidence; improve pipeline health; improve data quality; improve reliability; reduce incidents; meet quality, client, and regulatory expectations
Industry & Context.
root‑cause analysis; translate needs into clear engineering outcomes
internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload
What They're Looking For.
Must Have
Minimum 5 years of experience in software or data engineering, At least 3 years of experience leading and developing high‑performing engineering teams, expertise in SQL, ETL frameworks, data modeling, and cloud‑based data pipelines, Hands‑on experience with platforms such as AWS, Snowflake, Databricks, Teradata, or enterprise BI tools, Proven ability to improve system performance, reliability, and production support processes, Experience working with cross‑functional partners across engineering, QA, architecture, and business teams
Nice to Have
Experience in healthcare, PBM, or other regulated data environments, Background applying AI or machine learning to data engineering, reporting, or operational automation, Bachelor’s degree in computer science, engineering, or a related field
What You'll Do.
and evolution of data pipelines
and reporting applications
Drive modernization of legacy data platforms toward cloud‑based and scalable solutions
Integrate AI‑enabled capabilities to improve pipeline health
Ensure operational excellence by improving reliability
and guiding root‑cause analysis
and iterative delivery practices that emphasize automation
and continuous improvement
Build and lead high‑performing engineering teams by coaching
and empowering engineers and QA professionals
Foster a culture of ownership
including ongoing AI skill development
and business stakeholders to translate needs into clear engineering outcomes
Collaborate with governance
and design partners to meet quality
and regulatory expectations
How You'll Work.
Team & Collaboration
partner closely with cross‑functional teams; Partner with product, reporting, analytics, and business stakeholders; Collaborate with governance, QA, and design partners; Experience working with cross‑functional partners across engineering, QA, architecture, and business teams
Process & Methodology
Agile, DevOps, iterative delivery
Full Job Description
We are looking for a Software Engineering Senior Manager who brings strong technical leadership, a growth mindset, and a passion for building modern, reliable data and reporting platforms. In this role, you will partner closely with cross‑functional teams to modernize reporting capabilities, integrate AI‑enabled solutions, and elevate engineering practices that help teams move faster with confidence. You will lead with energy and optimism while balancing ambition with care for people and outcomes. **Responsibilities** * Lead the design, development, and evolution of data pipelines, transformations, and reporting applications that deliver accurate, timely insights * Drive modernization of legacy data platforms toward cloud‑based and scalable solutions * Integrate AI‑enabled capabilities to improve pipeline health, anomaly detection, and data quality * Ensure operational excellence by improving reliability, reducing incidents, and guiding root‑cause analysis * Champion Agile, DevOps, and iterative delivery practices that emphasize automation, observability, and continuous improvement * Build and lead high‑performing engineering teams by coaching, developing, and empowering engineers and QA professionals * Foster a culture of ownership, collaboration, and learning, including ongoing AI skill development * Partner with product, reporting, analytics, and business stakeholders to translate needs into clear engineering outcomes * Collaborate with governance, QA, and design partners to meet quality, client, and regulatory expectations **Qualifications** **Required** * Minimum 5 years of experience in software or data engineering * At least 3 years of experience leading and developing high‑performing engineering teams * Strong expertise in SQL, ETL frameworks, data modeling, and cloud‑based data pipelines * Hands‑on experience with platforms such as AWS, Snowflake, Databricks, Teradata, or enterprise BI tools * Proven ability to improve system performance, reliability, and p
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