Top Tech Jobs & Startup Jobs in Columbus, OH

Client-facing Analytics Manager who architects large-scale digital analytics (GA4/Adobe), audits implementations, builds measurement frameworks, and leads GEO (Generative Engine Optimization) test & learn programs. Uses AI tools (Claude) to automate workflows, mentor teammates, manage projects, and translate data into strategic client recommendations.

The role involves joining a talent community for individuals with 1 to 5 years of experience, allowing for updates on career opportunities at KKR.

Lead the design and implementation of AI agents and automation across pro-code and no-code platforms. Define repeatable automation patterns, integrate AI platforms with business tools via APIs, build RAG pipelines and vector DB integrations, write Python scripts for complex integrations, and guide technical decisions while working closely with the VP of AI to review agent performance and scale solutions.

Identify and qualify ecommerce prospects, execute multi-channel outreach (email, social, cold calls), manage and nurture a sales pipeline in CRM, design outreach strategies with sales leaders, support Account Executives on discovery calls, and contribute to sales process improvements.

Lead global compensation design, governance, benchmarking, and analytics for enterprise Total Rewards. Build compensation models, run merit/bonus cycles, ensure compliance across regions (including Ireland and India), partner with HRBPs and Finance, and deliver dashboards and scalable processes to support executive decisions.

Lead marketing automation, customer onboarding, and operational workflows using AI and no-code tools. Build automated reporting dashboards, design campaign and social pipelines, generate AI-driven content, coordinate data pipelines with engineering, and evaluate AI tooling to scale growth and reduce manual work.

Use statistical and causal inference methods to build, implement, and monitor marketing models (Bayesian MMM, multi-touch attribution), analyze A/B and uplift tests, partner with marketing to test and drive data-informed decisions from large web-product datasets.

Serve as Americas CRM product owner and SME, translating business needs into functional specs and backlog items, driving CRM standardization, automation, data governance, rollouts, adoption, reporting, and cross-team alignment to improve deal management and pipeline visibility.

Lead and scale companywide analytics for a DTC marketing business: own marketing measurement, financial forecasting, retention/LTV modeling, data architecture, reporting, and the analytics team. Set analytics strategy, oversee data engineering roadmap, build dashboards, apply statistical and ML methods, and translate insights into executive-level decisions.

Own and operate the martech stack and marketing data pipeline: standardize naming/taxonomies, ensure data hygiene, manage lead scoring/routing, administer CRM/MAP/CDP integrations, enforce compliance, build playbooks, and partner with Sales Ops and Data Engineering to keep marketing data trustworthy and audit-ready.