Jobs at Sigmoid

Provides high-level administrative, operational, and strategic support to executive leadership. Responsibilities include complex calendar and meeting management, domestic and international travel coordination, executive communications, expense reporting, banking and financial administration, confidential information handling, and cross-functional project coordination.

Leads Sigmoid’s Revenue Growth Management and commercial analytics consulting practice. Responsibilities include identifying client opportunities, shaping pricing and promotion solutions, leading product-market fit and go-to-market strategy, developing scalable analytics offerings, managing strategic client relationships, and owning practice growth, profitability, hiring, mentoring, and delivery quality.

Manage analytics projects and teams delivering data analysis, visualization, business intelligence, statistical modeling, and machine learning solutions. Engage clients to understand business needs, map processes, translate problems into analytical frameworks, generate data outputs, conduct quantitative analyses, and interpret results. Collaborate with data scientists and engineers to embed analytics and AI into business decision-making.

Develop and maintain Tableau dashboards, visualizations, reports, and BI solutions. Gather requirements from clients and stakeholders, define KPIs and metrics, analyze business processes, and translate business needs into analytical solutions. Perform SQL-based analysis, dashboard quality checks, validation, documentation, and data governance. Collaborate with Data Engineering teams, present insights through storyboarding, document meetings, and track work using JIRA.

Execute large-scale enterprise database migrations from Sybase ASE and IBM DB2 to PostgreSQL, Amazon Aurora PostgreSQL, and SingleStore. Responsibilities include migration assessment, schema conversion, data validation, reconciliation, performance testing, cutover, rollback, production go-live, stabilization, troubleshooting, database administration, performance tuning, backup and recovery, scripting automation, documentation, and coordination with application, infrastructure, cloud, and engineering teams.

Owns end-to-end architecture for enterprise Azure data platforms using Microsoft Fabric and Azure Databricks. Establishes standards for DataOps, CI/CD, infrastructure as code, security, governance, networking, observability, and cost optimization. Advises clients, leads architecture workshops, evaluates technology options, manages risks, reviews designs, oversees implementation teams, and mentors architects. Requires extensive Azure, Fabric, Databricks, enterprise data architecture, security, governance, and client consulting experience.

Lead end-to-end data science and machine learning engagements for clients across multiple industries. Develop predictive models, statistical analyses, scalable data solutions, and technology roadmaps. Manage technical teams, allocate workloads, oversee project delivery, conduct reviews, and maintain client stakeholder relationships. Contribute to product development, pre-sales, business cases, and strategic consulting while ensuring project quality, utilization, and business impact.

Develop statistical and machine learning models, perform hypothesis testing, exploratory data analysis, root cause and factor analysis, and generate business insights. Extract and prepare data from enterprise data warehouses and big data platforms, train and improve models, monitor performance, and collaborate with clients across industries to solve complex business problems.

Leads end-to-end data science and AI analytics programs, combining hands-on predictive modeling with technical team management and client engagement. Develops statistical and machine learning solutions, data science roadmaps, scalable delivery processes, and technology strategies. Manages project execution, stakeholder expectations, team workloads, utilization, audits, and business cases while guiding data scientists and supporting sales and pre-sales activities.

Manage and grow strategic Fortune 1000 accounts through enterprise B2B sales, consultative selling, account strategy, and relationship management. Responsibilities include identifying and closing opportunities, developing growth plans, forecasting revenue and staffing, handling escalations and RFPs, coordinating account reviews, and influencing senior stakeholders. The role requires expertise in data solutions, project-based account management, staff augmentation, and enterprise technology sales, with occasional late-hour availability for the EST time zone.

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

Leads full-stack cloud-first web application development, guiding mixed-discipline teams from requirements through delivery. Responsibilities include client alignment, architecture and microservices design, API and database development, technical planning, risk management, production support, hiring, mentoring, and hands-on coding. The role requires enterprise application expertise, strategic leadership, and experience with modern frontend, backend, database, and agile technologies.

Leads Sigmoid’s CPG Supply Chain Analytics consulting practice in Bengaluru, setting strategy, driving growth, developing go-to-market initiatives, and expanding client relationships. The role oversees advanced analytics and AI/ML solution development, advises strategic customers, promotes thought leadership, and manages practice-level knowledge sharing. It requires extensive consulting experience with large CPG clients, supply chain expertise, analytics implementation skills, and strong executive leadership and communication abilities.

Build scalable full-stack web applications using React, TypeScript, Node.js or FastAPI, and PostgreSQL. Design responsive interfaces, REST APIs, microservices, database models, and automated tests. Apply clean architecture and software design principles, participate in Agile ceremonies, collaborate with cross-functional teams, and mentor junior engineers. The role also involves performance optimization, debugging, code reviews, and driving features from design through deployment.

Manages and expands enterprise client relationships through cross-selling, up-selling, consultative solutions selling, and new business development. Builds relationships with decision-makers, identifies new revenue opportunities, conducts QBRs, monitors customer satisfaction, forecasts revenue and resources, leads proposals and deal negotiations, and coordinates with delivery and technical teams to maintain successful engagements.

Act as a presales consultant engaging prospective enterprise clients to analyze needs, design tailored data analytics solutions, deliver presentations and demos, prepare proposals, and collaborate with sales and technical teams to ensure smooth handoff to implementation.

Lead design and delivery of a scalable big-data platform: consult with Fortune 500 clients, design and implement distributed data solutions (ETL, APIs, integrations), mentor and hire engineers, productionize jobs, and stay hands-on with Spark/Hadoop and cloud technologies.

Partner with Data Engineering leaders to design and deliver technical, leadership, and AI-focused learning roadmaps. Develop role-based learning pathways, leverage SMEs and AI tools for content, manage multiple programs, measure impact via LMS and analytics, and advise leadership on talent readiness and capability development.

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.

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.