Lead Software Engineer (Nashville)

Lead Software Engineer

CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is rightwhatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

As a Lead Software Engineer, you will be responsible for leading the Analytics Engineering & Delivery function and for delivering scalable, performant, and insightful analytics solutions that support strategic and operational decision-making across the enterprise.

Job Description

As a Lead Software Engineer, you will be responsible for leading the Analytics Engineering & Delivery function and for delivering scalable, performant, and insightful analytics solutions that support strategic and operational decision-making across the enterprise. This role manages a team of analytics engineers and oversees the development of enterprise dashboards, semantic models, and data pipelines across Fabric (Power BI), Tableau, and other supported platforms.

What You'll Do

Lead and manage the delivery team responsible for the design, development, and deployment of enterprise-grade analytics solutions using Fabric (Power BI), Tableau and other supported platforms. Manage the execution of key analytics initiatives including KPI frameworks, cross-platform data integration, visual cognition standards, and optimized data pipelines. Provide direct leadership to Analytics Engineers by prioritizing workload, tracking progress, and facilitating solution reviews for consistency and alignment. Serve as delivery owner for data analytics projects, collaborating with business stakeholders, product owners, and data platform teams to ensure on-time and high-quality delivery. Translate business needs into scalable analytical products with structured semantic models, reusable datasets, and governance-aligned data definitions. Support the adoption of version control practices and drive automation, reusability, and design consistency across reporting solutions. Oversee continuous improvement efforts including code reviews, performance tuning, and compliance with architectural best practices. Lead the team's engagement in agile delivery practices, backlog grooming, and sprint planning in coordination with strategy and capability leads. Partner with the BI Strategy & Business Partnership team to align delivery outcomes with enterprise data governance and user enablement goals. Contribute to the standardization of data modeling and visualization best practices rooted in analytical literacy, business relevance, and perceptual design principles.

What You'll Need

Required : Bachelor's degree in Engineering, Computer Science, Analytics, or related field with 7-10 years of experience + 5+ years leading business intelligence or analytics engineering teams delivering production-grade solutions using Power BI, Tableau, and enterprise-scale data platforms + Deep understanding of semantic modeling, star and snowflake schema design, dimensional modeling, and visual analytics best practices + Strong hands-on experience with DAX, Level of Detail (LOD) expressions, advanced SQL, and programming languages such as Python or R, as well as data preparation tools including Alteryx, Power Query, and Tableau Prep + Experience with Cloud Data Platforms such as Azure, AWS, or GCP, including cloud-native storage and computer solutions + Experience with enterprise data warehousing platforms such as Databricks, Snowflake, Redshift, Synapse, or similar technologies + Experience with generative AI and natural language technologies such as Microsoft Copilot, Salesforce Einstein, Databricks Ginni, or other LLM-driven analytics tools + Experience leading solution design and implementation using cloud data lakes, and version control tools like Git + Demonstrated success managing delivery pipelines and analytics squads in agile or hybrid environments + Proven ability to coordinate complex technical efforts across data engineering, governance, and business teams + Fluent in English with strong verbal and written communication skills, including executive reporting and stakeholder engagement + Familiarity with IBCS, cognitive design for analytics, and standardization frameworks Preferred : Master's degree with 5-7 years related experience.

Physical Demands

Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards. Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard and monitor.

Pay Range

The pay range for this position is $65.00-$75.00 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role includes medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role receive paid time off and may also be entitled to paid sick leave and / or other paid time off as provided by applicable law.

Reasonable Accommodation Statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 8111.