Business Solution Engineer

Highspring • Nashville, TN

1d • $123,988 - $247,002

About The Position

The Business Solution Engineer is part of Highspring’s Digital practice, which combines application development, engineering, cloud, and modernization to address complex technology challenges. The role designs and delivers digital, analytics, data engineering, automation, and AI/ML solutions, supporting clients from proof of concept through large-scale implementation. It also contributes in a leadership and Solution Architect capacity to the strategic direction of the company’s AI/ML, automation, and Data Analytics functions.

The position works directly with client stakeholders to understand business objectives, processes, data challenges, and success measures. It manages discrete project workstreams, communicates with technical and non-technical audiences, and supports data transformation initiatives across areas such as M&A, finance transformation, enterprise data strategy and governance, process improvement, and system implementation or migration. Travel flexibility of up to 25% is required.

Requirements

• At least 5 years of data and product development experience.
• Experience architecting and developing AI/ML solutions.
• Ability to lead workshops, gather and document requirements and use cases, and recommend envisioned processes.
• Experience presenting to C-suite audiences.
• Industry experience in Financial Services, FinTech, Banking, Technology, or SaaS.
• Understanding of Waterfall and Agile software development lifecycles and their associated artifacts.
• Experience identifying and correcting problems in imperfect data and processes.
• Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, Information Systems, or a related field, or an equivalent number of years of experience.
• Flexibility to accommodate travel up to 25%.

Nice To Haves

• Programming experience in Python, SQL, and/or R.
• Experience using GitHub for source code management.
• Experience with commercial analytics, automation, and AI/ML tools such as Alteryx, Power BI, Tableau, Power Automate, UiPath, Automation Anywhere, AI/ML/GenAI platforms, Informatica, or Oracle EDMC.
• Proven ability to lead, motivate, and build teams that deliver.
• Business skills and experience in accounting, corporate finance, and FP&A.
• Familiarity with the M&A transaction lifecycle.
• Master’s degree in Business or a related field.
• Experience managing technical development as a liaison between technical teams and user communities.

Responsibilities

• Modernize legacy applications and architectures to improve performance, maintainability, and scalability.
• Design and build digital applications and scalable digital products that address business needs and improve user experiences.
• Design, migrate, and optimize cloud environments.
• Connect applications, data, and systems to create integrated digital experiences and workflows.
• Automate development and delivery processes.
• Design modern data warehouses and analytics-ready data models, and develop reliable cloud-based data pipelines.
• Implement analytics, reporting, and visualization solutions that provide actionable insights to client stakeholders.
• Partner with client teams to identify objectives, data challenges, and success metrics through interviews and working sessions.
• Manage project workstreams, balancing technical execution, client communication, and delivery timelines.
• Present findings, recommendations, and solution designs to technical and non-technical audiences.
• Use AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code.
• Support data transformation initiatives, including system implementations, migrations, and modernization.
• Participate in internal knowledge sharing, mentoring, and career development activities.
• Perform in a leadership and Solution Architect role, helping shape the strategic direction of AI/ML, automation, and Data Analytics functions.
• Deliver work involving data management, governance, dashboard monitoring, data-quality dashboards, data controls, data lineage, and data mapping.
• Support data transformation across M&A lifecycle work, finance transformation, enterprise data strategy and governance, process improvement and automation, system implementations and migrations, and data and automation strategy and roadmapping.
• Identify insights using statistical, algorithmic, data-mining, and visualization techniques.
• Interview client stakeholders to identify process and data challenges, and document and present findings.
• Develop analytical proof-of-concept prototypes and large-scale analytical platform implementations to meet client needs.
• Develop business procedures and data management policies to ensure data accuracy and control.
• Create model documentation, develop implementation roadmaps, and perform knowledge transfers.

Benefits

• May be eligible for bonuses and financial incentives based on individual and company performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior