Jobs at Sigmoid

The Data Architect will require extensive experience in Data Engineering, consulting, and leading technical teams, focusing on data warehousing and various technologies.

Technical Lead responsible for building scalable data platforms, collaborating with Fortune 500 clients, providing technical leadership, and managing teams. Requires strong experience in big data technologies and cloud infrastructure.

Lead a team to build a scalable big data platform, aligning initiatives with clients, managing team performance, and ensuring delivery against strategic requirements.

Develop scalable applications, provide technical leadership, and collaborate with clients and engineers. Focus on API design and big data technologies.

The role involves engineering, design, development, and deployment in the Big Data space, providing technical leadership and coding expertise, interfacing with clients, and implementing APIs and integration patterns.

The Technical Lead will build a scalable big data platform to collect, store, model, and analyze large datasets across various channels.

The Software Development Engineer II will develop large-scale Big Data architectures, coding primarily in Java and Python, and interface with Fortune 500 clients. Responsibilities include API design, technical requirement definition, and data management.

As a Business Analyst, you'll collaborate with capital markets teams to gather and document requirements, support technology initiatives, and drive transformations in trading and risk functions.

As a Functional Consultant, you will drive consulting for clients in investment banking, analyze FO systems, guide business strategies, and create documentation for transformations and migrations.

Senior pharma commercial consulting leader responsible for presales, solutioning, client advisory, and onsite delivery for Pharma and Consumer Health clients. Drive data- and AI-led transformation, lead executive workshops and proposals, and ensure successful execution across sales effectiveness, omnichannel marketing, pricing, launch optimization, and patient analytics.

Lead technical product development by gathering requirements, planning and executing multiple concurrent projects using Agile/Kanban. Manage backlogs in tools like Jira/ADO, create product roadmaps, unblock engineering, track delivery metrics, manage stakeholders, mitigate risks, ensure quality, and drive continuous improvement.

Lead account management and growth for Fortune 1000 clients, selling data and analytics solutions. Own account strategy, team leadership, forecasting, P&L planning, RFP/RFI responses, escalation handling, and new-opportunity development to drive revenue and customer success.

Lead presales and consultative supply chain engagements: identify market opportunities, align business and technical solutions, drive product-market fit and GTM, own solution roadmap and reusable analytics assets for CPG and life sciences, and collaborate with domain, data science, and engineering teams to deliver scalable supply chain analytics products.

Lead enterprise Power BI transformation: design scalable Power BI/Fabric architectures, migrate legacy dashboards, build reusable accelerators, optimize performance and deployments, establish governance, mentor developers, and drive adoption through training and automation.

The Financial Services Leader will oversee the FS Consulting Practice, managing high-level strategy, client relationships, and operational delivery across several accounts while fostering innovation and cultural transformation.

Lead data science initiatives by defining roadmaps, managing teams, and engaging clients, while driving innovative AI and analytics solutions.

The Engagement Manager will lead client workshops, drive analytics roadmaps, and liaise with clients to provide solutions in life sciences consulting.

The Engagement Manager will drive execution of business-analytics roadmaps, lead workshops, define business problems, and manage client relations. This role combines hands-on contributions with team and customer management.

Lead strategic hiring for mid-to-senior and leadership roles across Data Engineering, AI/ML, Cloud, Analytics, Product Engineering, and Consulting. Build candidate personas, design interview frameworks and scorecards, translate technical needs into job descriptions, partner with stakeholders, execute sourcing and talent mapping, and manage end-to-end recruitment and stakeholder relationships.

Design, build, and deploy scalable AI/ML solutions and LLM applications (RAG pipelines, vector DBs). Create MLOps pipelines, integrate AI via APIs/microservices, mentor junior engineers, engage stakeholders, and ensure responsible AI, monitoring, and retraining in production.