Jobs at Fractal

Develop and maintain demand forecasts across products, markets, customers, and channels. Analyze sales, inventory, promotions, seasonality, and market trends; investigate forecast performance and root causes; support product launches, lifecycle planning, and S&OP. Create reports and dashboards using Excel, SQL, Power BI, or Tableau, maintain planning data in ERP/MRP systems, and collaborate with Sales, Marketing, Supply Planning, Finance, and Analytics teams.

Translates business and analytics requirements into technical data architecture specifications and fit-for-purpose solutions. Designs, plans, and guides data integration, modeling, quality, governance, optimization, and analytics platforms across cloud, on-premises, and hybrid environments. Applies software engineering and DevOps practices to automate and improve data flows. Collaborates with IT and business stakeholders, evaluates emerging technologies, manages competing priorities, and supports the evolution of the organization’s data ecosystem.

Lead strategic growth and account management for CPG clients, driving sales, margin, and $2M+ revenue targets. Serve as trusted advisor, shape transformation agendas, manage complex sales cycles, collaborate with analytics and consulting teams, and drive pre-sales, GTM and cross-functional initiatives.

Drive business growth by selling consulting and technical services, managing client relationships, and collaborating with Microsoft for joint sales opportunities.

Design and maintain scalable data pipelines in enterprise-scale data warehousing projects using GCP and Python frameworks.

Lead large-scale Databricks, enterprise data, AI, and technology transformation programs for a biopharmaceutical client. Responsibilities include client advisory, modernization roadmaps, enterprise data and AI architecture, governance, platform design, delivery oversight, technical standards, and executive stakeholder engagement. The role guides cloud-native AWS and Databricks implementations, supports AI-ready life sciences data platforms, mentors technical teams, and drives secure, scalable, observable, and cost-effective delivery across global teams.

Manage and grow a healthcare client account by developing executive relationships, identifying AI and GenAI opportunities, shaping demand, and driving new business, sales, margins, proposals, pilots, and subscriptions. Collaborate with consulting, delivery, finance, research, and engineering teams across the U.S. and India. Translate AI capabilities, cloud services, APIs, data pipelines, and commercial models into client value propositions while supporting successful production deployments.

Lead enterprise supply chain transformation and software growth by driving new logo acquisition, executive discovery, and consultative workshops; own end-to-end software sales, build business cases and pricing models, influence product roadmaps, and translate recurring operational problems into reusable software capabilities while collaborating across Sales, Product, Engineering, and Delivery.

The Client Partner will lead client relationships, drive strategic transformation in the Telco and Media domain, and leverage analytics expertise to deliver value outcomes while fostering growth in client engagements.

Lead supply chain analytics engagements: manage client teams, design data-driven solutions for demand forecasting, inventory and network optimization, drive key initiatives to closure, and provide thought leadership in supply chain analytics.

Lead Forward Deployed Engineer to design, build, and deploy production-grade enterprise AI solutions using Cogentiq. Responsibilities include integration with enterprise systems, creating connectors/APIs/SDKs, architecting cloud-native microservices, troubleshooting production deployments, and feeding deployment learnings back into the platform. Works closely with customers and cross-functional teams to translate requirements into reusable platform capabilities.

Partner with enterprise customers to design, build, and deploy production-grade AI applications using the Cogentiq platform. Develop integrations, connectors, APIs, and cloud-native backend services; ensure security, scalability, and reliability. Troubleshoot deployments, optimize performance, run technical workshops, and feed deployment learnings back into platform capabilities alongside AI, platform, and product teams.

The Business Analyst acts as a liaison between business teams and technical teams, analyzing data to provide actionable insights and drive performance improvement initiatives.

Lead go-to-market and revenue for the Cogentiq Invoice-to-Cash product: drive new business, manage full sales lifecycle, design commercial models, collaborate cross-functionally, and secure enterprise deals while supporting onboarding and growth.

Lead new business development and solution sales within TMT accounts for analytics and AI services. Build multi-threaded client relationships, position Fractal offerings, drive pre-sales and consultative campaigns, and manage account growth and margins across global teams.

Lead Architect will design and deliver large-scale, cloud-native data platforms on Azure and Snowflake, build ETL/ELT pipelines with ADF and Databricks, optimize Spark and Snowflake performance, integrate diverse data sources, implement governance and CI/CD, and enable analytics and ML/AI use cases for enterprise clients.