Associate, Technology Strategy and Transformation - Atlanta, GA

Cortland•Atlanta, GA

About The Position

The Technology Strategy & Transformation Associate helps translate business problems into technology strategies, investment cases, and actionable roadmaps through analysis, research, and structured discovery. The role works across business and technology teams to evaluate opportunities, inform investment decisions, and measure whether delivered solutions achieve their intended outcomes. The Associate supports discovery with business stakeholders, including interviewing users, mapping current-state processes, analyzing pain points, documenting requirements and success measures, and turning requests into clear problem statements. The position maintains technology roadmaps and capability plans, analyzes progress, tracks KPIs and post-launch results, and prepares executive-ready materials. It also builds financial models and business cases, researches markets and vendors, supports RFPs and vendor evaluations, and assesses AI, data, and emerging technology opportunities. The Associate partners with teams across AI & Analytics, Data Science, Software & Data Engineering, Enterprise & Community Applications, and Digital Experience.

Requirements

1–3 years of experience in management or technology consulting, finance, corporate strategy or development, business analysis, product management, or a related discipline.
Bachelor’s degree in business, finance, economics, information systems, computer science, or a related field.
Strong financial modeling skills in Microsoft Excel, including experience developing ROI, total cost of ownership, or comparable investment analyses.
Strong Microsoft PowerPoint skills and ability to develop clear, well-structured, executive-ready presentations.
Proficiency in SQL and a working understanding of data platform architecture.
Strong structured problem-solving skills, including the ability to break ambiguous questions into testable components and use data to reach a recommendation.
Clear written and verbal communication skills, with confidence presenting analyses and recommendations to senior stakeholders.
Strong organization, attention to detail, and follow-through across multiple concurrent workstreams.
Sound judgment and intellectual curiosity, with willingness to ask why and respectfully challenge assumptions when evidence points to a different conclusion.
Curiosity about AI, data, enterprise applications, and emerging technology and how they can change business processes and outcomes.

Nice To Haves

Real estate or multifamily experience.

Responsibilities

Interview business users, map current-state processes, analyze pain points, and document requirements and success measures.
Translate business requests into clear problem statements and requirements that business and technical teams can evaluate and act on.
Apply structured problem-solving and data to distinguish stated requests from underlying business needs and challenge assumptions when evidence supports another approach.
Develop an understanding of business processes, economics, and systems to identify opportunities for technology to improve business outcomes.
Coordinate across business and technology teams by preparing materials, documenting decisions, and driving action items to completion.
Maintain technology roadmaps and capability plans, including initiative inventories, timelines, dependencies, priorities, and status.
Analyze roadmap progress and prepare executive-ready materials communicating priorities, trade-offs, risks, and decisions needed.
Track KPIs, OKRs, adoption measures, and post-launch results; identify deviations from plan and support corrective action.
Build financial models evaluating ROI, three-year total cost of ownership, expected benefits, and measurable baselines for technology investments.
Analyze operational and financial data to quantify business problems, establish baselines, test assumptions, and estimate potential value.
Support consistent business-case evaluation and comparison of technology opportunities against competing investments.
Translate financial and operational analysis into concise recommendations and executive-ready presentations.
Conduct market research for build-vs-buy-vs-partner decisions, including market scans, vendor comparisons, SaaS assessments, feature and pricing analysis, and reference checks.
Support RFPs and vendor evaluations by documenting requirements, completing fit-gap analyses, evaluating responses, and synthesizing findings.
Research AI, data, and emerging technology capabilities to assess their potential to address defined business problems and create measurable value.
Partner with AI & Analytics, Data Science, Software & Data Engineering, Enterprise & Community Applications, and Digital Experience teams to understand solution options, technical considerations, and dependencies.