Sales Director

Oracle Oracle · Enterprise · VA

Sales Director for Oracle's AI Data Platform, focusing on go-to-market strategy, revenue growth, customer success, and team leadership. The role involves selling cloud services, software licenses, and engineered systems related to AI data platforms, including databases, data warehouses, data integration, governance, and analytics.

What you'd actually do

  1. Build and execute regional strategy, coverage, and territory plans; prioritize segments and vertical plays for the AI Data Platform to maximize TAM.
  2. Own the number: ensure 3–4x pipeline coverage, forecast accuracy, attainment, and deal velocity across cloud, license, and hardware.
  3. Recruit, hire, and develop high-performing sales managers/AEs; set clear expectations and coach to outcomes; recognize and remediate performance gaps early.
  4. Build trusted relationships with CIO/CDO/CISO/CFO and LoB leaders; lead value workshops and executive briefings focused on AI data strategies; unblock escalations quickly.
  5. Partner with Solution Engineering, Product, Marketing, Consulting, and Alliances/SIs/ISVs to execute integrated pursuits and co-sell motions around the AI Data Platform.

Skills

Required

  • Sales leadership
  • AI Data Platform expertise
  • Cloud services sales
  • Software license sales
  • Engineered systems sales
  • Go-to-market strategy
  • Team building and management
  • Pipeline management
  • Forecasting
  • C-level engagement
  • Complex enterprise sales
  • Negotiation
  • Business case development
  • Data quality
  • Data governance
  • MLOps/ModelOps
  • Cloud migration
  • Data integration
  • Data warehousing
  • Analytics/BI
  • Executive presence
  • Communication
  • Presentation skills

Nice to have

  • Advanced degree
  • Technical background (CS/Engineering/Data)
  • Oracle AI Data Platform experience
  • Partner ecosystem acumen
  • Co-sell experience
  • Modern AI data architectures (DW, lakehouse, streaming)
  • Consultative selling
  • Value-based selling
  • Public speaking
  • Executive facilitation

What the JD emphasized

  • AI Data Platform expertise
  • track record of building high-performing teams
  • own regional sales performance
  • deep AI data platform expertise
  • strong operating rigor
  • track record of building high-performing teams
  • own regional sales performance
  • customer success
  • partner impact
  • cloud services
  • software licenses
  • engineered systems
  • set strategy
  • lead front-line managers
  • Account Executives
  • partner tightly with Solution Engineering
  • Alliances
  • engage C-level stakeholders
  • land and expand multi-year
  • multi-pillar AI data programs
  • net-new acquisition
  • migrations/modernization
  • consumption growth
  • cross-portfolio attach
  • Autonomous Database
  • Cloud DW/Lakehouse
  • Data Integration/Replication (GoldenGate, OCI Data Integration)
  • Governance/Security
  • Analytics/BI
  • software license
  • engineered systems aligned to OCI
  • Design and sell data strategies that operationalize AI
  • data quality
  • governance
  • lineage
  • MLOps/ModelOps integrations
  • performance/scale for AI workloads
  • Data convergence, consolidation, and standardization
  • rationalize estates onto Oracle’s AI Data Platform
  • lower TCO
  • improve security
  • accelerate time-to-value
  • Cloud migration and modernization
  • accelerate database, analytics, and AI data workload moves to OCI
  • engineered systems
  • hybrid and multicloud patterns
  • Oracle Database@Azure
  • partnerships with AWS and Google Cloud
  • Industry outcomes
  • Align AI data platform capabilities to vertical use cases
  • sponsor lighthouse wins
  • build repeatable references
  • Strategy and GTM leadership
  • Build and execute regional strategy
  • coverage
  • territory plans
  • prioritize segments
  • vertical plays for the AI Data Platform
  • maximize TAM
  • Define competitive positioning
  • value frameworks (ROI/TCO/Time-to-Value)
  • win must-win deals
  • Revenue ownership and operating rigor
  • Own the number
  • 3–4x pipeline coverage
  • forecast accuracy
  • attainment
  • deal velocity across cloud, license, and hardware
  • Run weekly operating cadences (pipeline inspection, top-deal reviews, forecast calls)
  • disciplined methodologies (e.g., MEDDICC)
  • maintain stage hygiene
  • close plans
  • Field leadership and talent development
  • Recruit, hire, and develop high-performing sales managers/AEs
  • set clear expectations
  • coach to outcomes
  • recognize and remediate performance gaps early
  • Drive account planning
  • multi-pillar attach
  • expansion motions (consumption, upgrade, and cross-sell)
  • centered on the AI Data Platform
  • Executive and customer engagement
  • Build trusted relationships with CIO/CDO/CISO/CFO and LoB leaders
  • lead value workshops
  • executive briefings focused on AI data strategies
  • unblock escalations quickly
  • Champion customer success
  • renewals
  • expansion through clear success plans with Customer Success and Consulting
  • Cross-functional orchestration
  • Partner with Solution Engineering
  • Product
  • Marketing
  • Consulting
  • Alliances/SIs/ISVs
  • execute integrated pursuits
  • co-sell motions around the AI Data Platform
  • Align field with product roadmaps and launches
  • ensure enablement
  • assets
  • references are available and adopted
  • Demand generation and partner impact
  • Activate ABM and campaign motions with Marketing/BDR
  • convert program responses into qualified pipeline
  • Grow partner-sourced and influenced pipeline
  • establish joint account plans and QBRs with strategic SIs/ISVs/channel
  • leverage multicloud partnerships (Oracle Database@Azure, AWS, Google Cloud)
  • Governance, compliance, and risk
  • Adhere to Oracle sales processes
  • deal governance
  • manage commercial policy
  • pricing discipline
  • security/compliance requirements by industry
  • 5+ years of sales leadership in cloud/data platform (preferably AI data platform) or enterprise software with consistent overachievement leading front-line teams or managers.
  • Proven ability to recruit, develop, and retain top sales talent
  • strong coaching
  • inspection
  • performance management.
  • Deep understanding of AI Data Platform domains: databases/DW/lakehouse, data integration/replication, governance/security, analytics/BI, and commercial motions for cloud services, software license, and hardware/engineered systems.
  • Demonstrated success in complex enterprise sales and negotiations at C-level
  • ability to construct executive business cases
  • land multi-year, multi-pillar AI data deals.
  • Analytical rigor with proficiency in pipeline analytics, forecasting, and KPI management.
  • Excellent executive presence
  • communication
  • presentation skills
  • effective with both technical and business stakeholders.
  • Bachelor’s degree required
  • advanced degree or technical background (CS/Engineering/Data) preferred.
  • 10+ years enterprise technology/cloud sales experience
  • 5+ years leading multi-disciplinary or multi-regional teams.
  • Experience selling Oracle AI Data Platform or comparable solutions
  • strong partner ecosystem acumen
  • co-sell experience.
  • Proficiency in modern AI data architectures (DW, lakehouse, streaming)
  • data governance/security
  • licensing constructs
  • positioning of engineered systems.
  • Strong consultative and value-based selling capabilities
  • superior public speaking and executive facilitation.