Senior Consultant, Business Solution Engineering

Highspring•Nashville, TN

1d•$109,941 - $161,492

About The Position

The Senior Consultant works directly with client and Highspring teams to understand complex financial-services business challenges, design practical solutions, and help move those solutions into execution. The role connects strategy, business architecture, finance and accounting, risk, operations, data, AI, and technology across front-, middle-, and back-office functions. Work may include lending platforms, finance and subledger architecture, risk transformation, enterprise data platforms, and AI-enabled operations. The consultant assesses current-state processes, capabilities, operating models, controls, data, and technology, then designs future-state solutions spanning people, process, data, technology, governance, and controls. The role translates business needs into executable requirements and implementation plans; supports transformation programs and client workshops; and produces executive-ready analyses, recommendations, business cases, and roadmaps. Travel of at least 25% is required.

Requirements

BA/BS in Business, Accounting, Finance, Information Systems, Data Analytics, Technology, or a related discipline.
At least 3 years of experience in consulting, financial services, transformation, business architecture, finance, risk, operations, data, or technology.
Client-facing experience in professional services or highly relevant financial-services industry experience.
Strong structured problem-solving and analytical skills.
Ability to understand how business processes, operating models, data, controls, and technology platforms work together.
Experience translating business needs into requirements, solution designs, or implementation plans.
Experience supporting business or technology transformation initiatives.
Exposure to modern enterprise data platforms, cloud architectures, analytics, AI, automation, or workflow technologies.
Ability to develop high-quality client deliverables with limited direction.
Strong written and verbal communication skills, including the ability to present complex ideas clearly.
Comfort operating when the problem, solution, or path forward is initially unclear.
Curiosity about how emerging technology can fundamentally change how financial-services work is performed.
Willingness to travel at least 25%.

Nice To Haves

Master of Business Administration or another relevant advanced degree, or equivalent professional experience.
Experience in one or more financial-services sectors, including banking, insurance, wealth and asset management, capital markets, private credit, or fintech.
Exposure to acquisition integration, finance transformation, regulatory change, risk transformation, or technology modernization projects.
Familiarity with Microsoft Azure, Snowflake, Databricks, Microsoft Power Automate, or comparable cloud, data, AI, and automation technologies.
Experience with lending, finance architecture, enterprise data, risk and controls, target operating models, or process redesign.
Familiarity with OKRs, KPIs, business cases, implementation roadmaps, and performance-management frameworks.

Responsibilities

Break down ambiguous business problems into clear issues, hypotheses, analyses, and actions.
Assess current-state business processes, capabilities, operating models, controls, data, and enabling technologies.
Design future-state solutions across people, process, data, technology, governance, and controls.
Map end-to-end business processes and platform operating models, identifying interaction models, handoffs, dependencies, control points, and opportunities to simplify work.
Support the design and modernization of financial-services platforms, including lending origination, underwriting, servicing, payments, deposits, models, and treasury.
Help design finance architectures spanning operational platforms, subledgers, general ledgers, consolidation, and financial and regulatory reporting.
Assess and design how enterprise data platforms support business processes, reporting, analytics, risk management, AI, and decision-making.
Translate business needs into data products, data requirements, integration patterns, semantic models, reporting requirements, and governance expectations.
Identify how modern cloud and data platforms can enable broader business solutions.
Identify opportunities to redesign processes using AI, enterprise agents, workflow automation, and low-code technologies.
Help design enterprise agents to automate information retrieval, case management, exception handling, reporting, controls, and employee decision support.
Translate business requirements into process, functional, data, control, and technology requirements that implementation teams can execute.
Develop capability models, target operating models, process maps, business and data requirements, decision rights, and implementation roadmaps.
Help clients establish OKRs, KPIs, and performance-management frameworks tied to measurable business outcomes.
Support risk transformation across operational risk, enterprise risk, controls, regulatory change, resilience, and first- and second-line operating models.
Support complex transformation programs, including M&A integration, finance transformation, regulatory change, enterprise data, AI, and technology modernization.
Participate in client workshops, requirements-gathering sessions, and executive presentations.
Build executive-ready analyses, recommendations, business cases, and implementation plans.