Prompt Engineer

LingaTech•Harrisburg, PA

2d•Onsite

About The Position

This role is focused on leveraging generative AI, business analytics, and strategic problem-solving to improve decision-making, automate workflows, and drive measurable business outcomes. The ideal candidate will partner across technical and operational teams to develop prompt-driven AI solutions, translate complex business challenges into structured frameworks, and deliver actionable insights through data analysis and AI-enabled reporting.

Requirements

Master of Science degree required
4+ years of experience in business analytics, strategy, or other data-driven roles
Hands-on professional experience working with Large Language Models (LLMs) such as ChatGPT and Claude
Strong analytical and technical skills with experience using SQL, Python, or similar analytical tools
Experience designing KPI frameworks, dashboards, and executive reporting solutions
Ability to structure and solve complex business problems using hypothesis-driven or consulting-style methodologies
Proven ability to translate complex datasets and findings into clear, actionable business insights
Strong stakeholder communication, collaboration, and presentation skills

Nice To Haves

Experience working within the financial services industry
Familiarity with A/B testing, cohort analysis, and performance optimization methodologies
Experience using BI and data visualization tools such as Power BI, Tableau, or Looker
Exposure to prompt evaluation techniques, AI guardrails, and output validation processes
Background utilizing consulting frameworks such as McKinsey or BCG-style problem-solving approaches

Responsibilities

Design, test, and optimize prompts for Large Language Models (LLMs) such as ChatGPT and Claude to support analytics, reporting, and operational workflows
Translate complex or ambiguous business challenges into structured AI-driven solutions and prompt frameworks
Develop prompt-based systems for executive reporting, narrative generation, KPI tracking, and performance analysis
Support customer insights initiatives, segmentation strategies, experimentation, and A/B testing efforts
Collaborate with Product, Operations, and Application teams to identify and implement high-impact AI use cases
Evaluate prompt effectiveness through structured testing methodologies, feedback loops, and performance metrics
Combine SQL, Python, and AI-generated outputs to deliver end-to-end analytical and business solutions
Build and maintain reusable prompt libraries, templates, standards, and best practices for internal stakeholders
Communicate AI-generated insights and analytical findings to leadership and cross-functional stakeholders
Design and support KPI frameworks, dashboards, and executive-level reporting processes
Apply hypothesis-driven and consulting-style problem-solving approaches to business and operational challenges
Assist with prompt evaluation, guardrails, validation processes, and AI output quality improvement initiatives
Utilize BI and analytics tools such as Power BI, Tableau, or Looker to support reporting and visualization efforts