Sales Executive, Data & AI Managed Services
Accenture
- Level
- Senior
- H-1B history
- 998 approvals (FY2023)
- Posted
- 1d ago
Skills
About this role
We are: Accenture’s Data & AI organization helps clients run and continuously improve their data and AI capabilities as a managed service —from modern data operations and governance to model operations (MLOps) and always-on insights. Our teams help clients shift from project-based delivery to repeatable, outcome-driven services that improve reliability, speed, cost, and business value over time. You are: A growth-focused sales professional who has delivered year-on-year expansion by selling complex managed services in enterprise environments. You’re comfortable leading full-cycle pursuits—qualification, shaping, commercial structuring, and close—and you know how to build credibility with executive stakeholders across technology and the business. The work: You will own and drive opportunities from origination through close , with a primary focus on Data & AI Managed Services. This includes building pipeline, shaping multi-year service engagements, and aligning the right operating model to a client’s needs. Key responsibilities include: Lead full-cycle sales pursuits (origination → qualification → solution shaping → negotiation → close) for Data & AI Managed Services engagements. Originate net-new opportunities (not limited to renewals/extensions), often in complex client environments and cross-service-group motions. Develop and execute account and pursuit strategies: stakeholder mapping, value messaging, deal strategy, and mutual success plans. Collaborate with delivery leaders and solution architects to shape the managed services scope: operating model, service levels, governance, transition approach, and continuous improvement roadmap. Position outcomes tied to what clients care about—availability, performance, time-to-insight, risk reduction, and cost optimization—while translating those outcomes into measurable commercial constructs. Navigate client procurement, legal, security, and risk stakeholders; manage approvals and contribute to contract and statement-of-work development. Operate within large teams, directing specific sales activities and coordinating across internal stakeholders to progress deals to closure. Travel may be required depending on business and client needs. What you need: 8+ years of enterprise technology sales experience, including managing complex pursuits from qualification through close. Demonstrated experience selling managed services / outsourcing / “run” services (e.g., AMS, operations, application or platform managed services, data operations, analytics operations, AI operations). Proven track record shaping and closing multi-year services engagements with recurring revenue characteristics (SOW + managed services schedules, SLAs, governance, transition). Strong executive presence with the ability to build relationships across CIO/CTO/CDO organizations and business leaders. Commercial acumen: pricing constructs, margin levers, scope control, renewals/expansions, and negotiation in complex procurement environments. Ability to clearly articulate value propositions, build business cases, and convert technical capabilities into business outcomes. English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement. Bonus points if you have: Experience selling managed services for any combination of: Data reliability and observability (data quality monitoring, pipeline reliability, incident/problem management) Data governance and stewardship operations MLOps / ModelOps (deployment, monitoring, drift detection, responsible AI controls) Data product operations (backlog, platform adoption, enablement, continuous optimization)