Design and architect end-to-end GenAI/LLM-powered applications and agent workflows, adapting and orchestrating pre-trained foundation models, tailored to complex supply chain business problems.
Responsibilities
Design and architect end-to-end GenAI/LLM-powered applications and agent workflows
Engage with business teams to identify opportunities and translate requirements into technical solutions
Collaborate with data engineers and infrastructure partners to integrate LLM APIs and frameworks
Build production quality solutions or enhance and evolve deployed solutions through engineering, evals, monitoring, feedback loops, and iteration
Present key findings to leadership to evaluate business impact
Requirements
PhD in Computer Science, Computer Software Engineering, Statistics, Applied Math, Data Science, Operations Research or a related field
Lead full‑stack development of Cardata’s Portal, owning end‑to‑end features from data models and APIs to responsive React/Next.js interfaces, while driving technical decisions, AI‑powered tooling, and quality standards.
Responsibilities
Own features from design through launch and ongoing production health
Partner with Product and Design to shape solutions and break work into increments
Build fast, responsive interfaces in React and Next.js
Improve existing systems and deliver new capabilities
The Customer Success Manager (CSM) serves as a trusted commercial advisor to our enterprise clients, delivering a high-touch, white-glove experience that drives account integration, stickiness and long-term customer longevity.
Responsibilities
Deliver an exceptional, tailored white-glove experience across all touch points
Deepen operational and technology integration to embed Zencargo into the customer's core supply chain workflows
Anticipate customer needs, market disruptions and supply chain friction before they impact performance
Own and conduct high-impact Monthly Business Reviews (MBRs), Quarterly Business Reviews (QBRs) and other account management operating system meetings
Accountable for directly delivering against Gross Profit (GP), Volume and Revenue targets across the assigned enterprise account portfolio
Own the end-to-end forecast governance and operating process, including forecast submissions, pipeline and opportunity reviews, risk and upside identification, data quality, consolidation, and management reporting.
Responsibilities
Lead and drive the sales forecast cadence across bi-weekly, monthly, and quarterly cycles
Partner with sales leaders and country/business teams to challenge forecast assumptions
Drive continuous improvement and automation of forecasting and reporting processes
Develop and maintain forecast best practices, documentation, training, and enablement
Lead cross-functional teams across the entire span of business planning activities
Requirements
Four-year or Graduate Degree in Business Administration, Finance, Economics, or any other related discipline
Lead data strategy and governance for CCOR data owner organization within JPMorgan Chase’s Risk Management and Compliance function.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Implement strategic plans to deliver data solutions that support business operations and objectives
Provide data product ownership for CCOR data product lines for implementation of CCOR Data Lake
Manage execution of projects and related milestones, mitigating risks and bottlenecks
Collaborate with partners to ensure critical data is well-documented and classified
Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle
Requirements
Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field
Responsible for cash flow planning, liquidity management, working capital optimization, banking operations, and treasury reporting in a multi-entity, multi-currency environment.
Responsibilities
Maintain and improve short- and medium-term cash flow forecasts
Analyze historical cash flows and operational drivers
Consolidate inputs from AR/AP, FP&A, Operations, Tax and Payroll
Investigate discrepancies between systems and bank transactions
Monitor forecast versus actuals and refine assumptions
Requirements
Bachelor’s degree in Finance, Accounting, Economics, Commerce or related field
The Data & Analytics Solution Sales Executive (SSE) is a sales role built for experienced data and analytics sellers who have the curiosity, confidence, and technical acumen to transform a customer’s business through AI, Data and Analytics.
Compensation
For positions in this location, we offer a base pay of $125,450 - $186,600, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.
Responsibilities
Lead end-to-end D&A sales cycles as a co-prime with the core account executive, from opportunity creation through close and ongoing adoption.
Own and sell the full D&A portfolio (Workflow Data Fabric, RaptorDB Pro, Data Apps, and Autonomous Data Analytics) across your assigned accounts.
Develop strategic D&A account plans to position ServiceNow D&A solutions as foundational to a customer’s AI, real-time analytics, and data strategy with a focus on new business with existing ServiceNow customers.
Lead discovery, value-based conversations, technical presentations, and demos with data, analytics and AI leaders to uncover priorities, pain points, and accelerate AI ready data modernization initiatives.
Develop relationships with customer technology and data executives, including those at the Chief Data and Analytics Officer (CDAO) level, as well as leaders in data engineering, data governance, and analytics, in addition to the ServiceNow platform owner and CIO, to increase awareness and influence.
Requirements
Sr Solution Sales Executive Data & Analytics - Financial Markets
Lead end-to-end D&A sales cycles as a co-prime with the core account executive, from opportunity creation through close and ongoing adoption.
Compensation
For positions in this location, we offer a base pay of $139,400 - $230,000, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Lead end-to-end D&A sales cycles as a co-prime with the core account executive, from opportunity creation through close and ongoing adoption.
Own and sell the full D&A portfolio (Workflow Data Fabric, RaptorDB Pro, Data Apps, and Autonomous Data Analytics) across your assigned accounts.
Develop strategic D&A account plans to position ServiceNow D&A solutions as foundational to a customer’s AI, real-time analytics, and data strategy with a focus on new business with existing ServiceNow customers.
Lead discovery, value-based conversations, technical presentations, and demos with data, analytics, and AI leaders to uncover priorities, pain points, and accelerate AI ready data modernization initiatives.
Develop relationships with customer technology and data executives, including those at the Chief Data and Analytics Officer (CDAO) level, as well as leaders in data engineering, data governance, and analytics, in addition to the ServiceNow platform owner and CIO, to increase awareness and influence.
Cast & Crew is seeking a Senior Manager of Data Analytics to lead our enterprise analytics organization. This role is responsible for delivering trusted business intelligence, operational reporting, executive dashboards, self-service analytics, and advanced analytical solutions that enable data-driven decision making across the company.
Compensation
Compensation range for this position is: $180,000.00 - $200,000.00 per year.
Responsibilities
Lead and develop teams of Analytics Engineers, Data Analysts, and Business Intelligence developers
Define and execute the enterprise analytics strategy
Partner with business leaders to identify reporting and analytics priorities
Deliver executive dashboards, operational scorecards, and self-service analytics solutions
Establish enterprise reporting standards, KPIs, and business metrics
Requirements
Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or related field
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