Top Tech Jobs & Startup Jobs in Indianapolis, IN

The HR Data Analyst develops and maintains workforce dashboards, KPIs, reports, and automated analytics solutions. They analyze employee lifecycle, engagement, retention, talent, learning, rewards, and HR operations data to identify trends and provide recommendations. The role partners with HR and business leaders, presents insights, ensures data quality and compliance, and improves reporting processes through governance, validation, automation, and data modeling.

Leads commercial performance across approximately half of the United States, managing Regional Sales Managers and overseeing Aesthetic Account Managers. Owns area sales strategy, revenue growth, forecasting, operating reviews, talent acquisition, coaching, and performance management. Partners cross-functionally on launches and customer programs while representing the company with customers and industry events. Requires extensive medical aesthetics sales leadership, strong business acumen, executive communication, and 50%+ travel.

Own full-cycle recruiting for technical and non-technical roles, including sourcing, screening, interviewing, hiring-manager partnership, candidate recommendations, offers, and applicant tracking. Manage the HRIS recruitment module, ensure compliance, monitor recruiting metrics, support onboarding and offboarding, train hiring managers, and provide HR process support. The role requires strong communication, organization, confidentiality, systems proficiency, and the ability to fill complex technical positions.

Leads complex, multi-workstream transformation programmes and portfolios from planning through delivery. Responsibilities include establishing governance, coordinating vendors and internal teams, managing delivery plans, RAID logs and dependencies, producing executive reporting, aligning stakeholders, prioritising portfolios, identifying risks, and recovering fragmented or at-risk programmes.

Leads enterprise geospatial, GIS, digital, and AI innovation across six practice groups. Designs geodatabases, web applications, dashboards, digital-twin platforms, field-data pipelines, and analytical automation using Esri technologies, Python, SQL, JavaScript, and FME. Evaluates emerging GeoAI, cloud, reality-capture, and immersive technologies; establishes governance and QA/QC standards; trains and mentors staff; and represents the firm with clients and industry audiences.

Lead development of scalable backend services and data platforms using Scala and Rust. Design distributed systems, APIs, data pipelines, and security-data workflows; guide Scala-to-Rust migration; support Python-based malware analysis, threat detection, and machine learning systems. Own production reliability, architecture, code quality, reviews, deployment, observability, and incident response in a cloud-native environment.

Leads customer and student experience initiatives by developing CX strategies, optimizing enterprise applications and processes, mapping customer journeys, analyzing feedback and performance data, and coordinating cross-functional improvements. The role manages project goals, stakeholder engagement, change management, process enhancements, and implementation of AI-enabled customer support and digital care capabilities.

Drive B2B SaaS demand generation and brand awareness through multi-channel campaigns, AEO, search, YouTube, website content, and product marketing programs. Manage HubSpot campaigns, landing pages, forms, lead routing, and website updates. Analyze campaign, website, and AEO performance against leads, pipeline, and revenue, while continuously testing channels and tactics to improve results.

Conduct end-to-end UX research across the product lifecycle, including interviews, observation, concept testing, usability studies, and surveys. Partner with Product, Design, Engineering, Data Science, Marketing, Support, and leadership to prioritize research questions, interpret behavioral data, communicate findings, and influence product decisions. Build scalable research practices through participant panels, reusable evidence, self-service studies, and listening loops while coaching cross-functional partners.

Manage operational aspects and end-of-life for product lines, analyze customer and usage data to recommend improvements, define KPIs, align cross-functional stakeholders, run EOL planning and communications, and support post-launch product optimization across broadband, wireless, or business data & voice domains.