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Build and operate scalable data engineering services supporting Workday’s machine learning and agentic initiatives. Responsibilities include data ingestion, governance, discoverability, derivation, and serving using Python, Spark, AWS, Kafka, Terraform, Kubernetes, and Iceberg. The role involves distributed systems development, production deployment, monitoring, testing, performance optimization, security, on-call support, and collaboration with engineering teams.

Drive add-on and renewal sales of Workday solutions within existing medium enterprise customers. Develop customer relationships, manage upselling opportunities, plan strategic accounts, negotiate with C-suite executives, and coordinate with presales, marketing, technical, and sales support teams. The role requires consultative SaaS selling, account strategy development, deal management, and strong communication skills.

Leads, coaches, and mentors a field sales team selling Workday cloud solutions. Drives new business, complex sales cycles, revenue and quota attainment across assigned strategic accounts. Coordinates pre-sales, value management, bid management, inside sales, marketing, and sales support teams. Positions Workday against legacy ERP solutions, maintains accurate forecasts, develops business models, and stays informed on competitive trends and customer needs.

Partners with finance and engineering leadership to build cloud cost governance, forecasting, and optimization models across AWS and GCP. Queries and models billions of billing records, deploys agentic AI tools to monitor spend and execute optimization actions, and establishes governance frameworks for autonomous agents. Leads enterprise initiatives with measurable financial impact, mentors analysts, presents to senior leadership, and drives cross-functional alignment.

Drives add-on and renewal sales of Workday solutions to existing medium-enterprise customers. Responsibilities include account planning, relationship management, consultative upselling, negotiating with C-suite executives, managing long sales cycles, developing account strategies, and coordinating with presales, marketing, technical, digital, and sales-support teams.

Drive net-new revenue by developing territory strategies, prioritizing and closing medium-enterprise opportunities, and selling Workday cloud solutions to C-level executives. The role includes account planning, prospecting, negotiating, coordinating with presales and internal teams, communicating Workday’s value proposition, and maintaining accurate pipeline and forecast data.

Develop and maintain relationships with existing medium-enterprise customers, driving add-on sales, renewals, and expansion of Workday solutions. Responsibilities include account planning, consultative selling, C-suite negotiations, long-term account strategy, deal management, and coordinating with presales, marketing, technical, value, bid-management, and sales-support teams.

Lead pricing for one to two product lines, developing pricing, packaging, bundling, and monetization strategies. Analyze deal, customer usage, sales, and feedback data to identify opportunities and improve pricing outcomes. Partner closely with product, marketing, sales, finance, legal, and operations teams while influencing stakeholders across a global matrixed organization.

Leads 2–4 Forward Deployed Engineering pods and manages approximately 10 customer projects per pod. Responsibilities include hiring and coaching engineers, staffing engagements, overseeing deployment lifecycles, troubleshooting integrations, converting customer feedback into product improvements, tracking graduation metrics, and partnering with Product, Engineering, Services, Architects, and Account teams. The role requires technical oversight of software deployments, coding, debugging, APIs, system architecture, and enterprise customer engagements.

Deploy, configure, debug, and optimize AI agents and developer platform integrations in enterprise customer environments. Lead technical discovery, solution architecture, proofs of concept, and workflow integrations while troubleshooting live data and complex configurations. Capture deployment challenges and customer feedback to influence product roadmaps, then convert recurring fixes into standardized platform capabilities. Collaborate with deployment architects, product managers, services leads, and account teams, guiding engagements through six-month deployment milestones. Travel to customer sites up to 20%.