Jobs at Inspire11

Lead client engagements to define and measure business value, oversee Agile delivery of large-scale technology and analytics projects, own project financials, manage staffing and onboarding, build client relationships, and create/review proposals and SOWs to drive measurable revenue and operational impact.

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Design, build, and test end-to-end data solutions: identify sources, map data flows, implement ETL into data warehouses, support reporting (Tableau/PowerBI/Qlickview), and provide ad hoc analysis and process improvements.

Perform stakeholder interviews and exploratory analysis to surface insights; build dashboards and reports; profile data and assess quality; leverage cloud data platforms; collaborate with engineers and clients; facilitate agile workshops and explore AI/GenAI to accelerate reporting and decision intelligence.

Lead client engagements to discover needs, profile and analyze data, design and deliver BI dashboards and reports, write and optimize SQL, build ETL/data pipelines, apply statistical analysis and basic ML, collaborate cross-functionally, and present solutions to stakeholders using Agile delivery.

As an AI/ML Consultant, you will engage with clients to understand their needs, analyze data, design BI reports, and collaborate on solutions using Agile methodologies.

Design and build scalable cloud-native data pipelines and models to produce trusted, analysis-ready data. Ensure data quality, governance, and privacy controls, apply software engineering best practices, enable BI and AI/ML consumption, and collaborate with clients and cross-functional teams.

The DevOps Engineer will lead multiple client projects, design and support applications, and mentor other engineers, utilizing modern development practices and technologies.

The role involves managing client engagements, driving sales and project delivery, mentoring team members, and advising on emerging technologies.

The Principal Consultant drives client engagement, identifies business challenges, crafts solutions, mentors consultants, and oversees project delivery and execution.

As a Business Analyst at Inspire11, you will collaborate with clients to define their business needs, document requirements for digital solutions, and ensure project execution aligns with business goals.

Design and lead cloud-native data architectures and end-to-end ELT/ETL pipelines across major cloud platforms. Build and optimize data lakes/warehouses, enforce data security and governance, implement IaC and CI/CD, conduct data profiling, and advise clients on AI/ML integration while mentoring delivery teams.

Lead end-to-end technical delivery for custom software, data, analytics, and digital transformation programs. Drive product ideation, scoping, solution design, estimation, and cloud-based architecture. Manage teams, budgets, risks, client relationships, and performance metrics while leveraging automation and Agile practices to deliver business value.

Work with clients to elicit, document, and validate business and technical requirements; decompose requirements into user stories; facilitate Agile ceremonies; support product discovery, prototyping, and data-driven analysis; manage risks and ensure timely delivery across cross-functional teams.

Lead cross-functional development teams and partner with senior stakeholders to define and deliver end-to-end software solutions. Own architecture and full SDLC, design and support mission-critical systems, set architecture standards and best practices, mentor engineers, and integrate cloud, containerization, CI/CD, database, and AI/ML technologies into scalable applications.

Design and deploy scalable ML infrastructure, implement CI/CD for models, monitor production models, build generative AI solutions, ensure security/compliance, preprocess/analyze data, develop and fine-tune models (TensorFlow/PyTorch), and communicate results to stakeholders. Onsite presence may be required.

Build full-stack, client-focused solutions using React and modern JavaScript or backend languages (Java/Scala/Kotlin/C#/Node.js/Python). Design APIs, work with relational and NoSQL databases, use cloud (AWS), containers, and CI/CD. Write tests, troubleshoot issues, contribute across the application lifecycle, mentor engineers, and support continuous improvement and AI/ML integration.