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Salesforce

Senior Customer Success Manager – Tableau, Data, Analytics & AI Strategy

Salesforce

. Drive quantifiable business impact across complex, multi-org Signature customers .

Posted 10/14/2026full-timeSydney • AustraliaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in driving analytics maturity and governance while leveraging tools like Tableau and Salesforce to deliver strategic insights. Capable of navigating complex organizational dynamics and influencing stakeholders to maximize business impact through data-driven decision making.

Highest-signal resume keywords
TableauAnalytics StrategyCustomer SuccessData GovernanceSaaS Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Business Impact MeasurementData ArchitectureCloud Analytics DeploymentBI Tools ExperienceDigital Workflow Design
Soft Skills
Exceptional CommunicationInfluencing StakeholdersNavigating Organizational DynamicsMentoring Team MembersHandling Objections
Tools & Technologies
SalesforceData 360AgentforcePower BILooker
Certifications & Qualifications
Tableau CertificationSalesforce Certification
Industry Keywords
Analytics MaturityEmbedded AnalyticsChange ManagementSelf-Service AdoptionAI Strategy

Tech Stack

Tools & technologies
CloudTableau

About the role

Key responsibilities & impact
  • Drive quantifiable business impact across complex, multi-org Signature customers
  • Act as the primary strategic partner on data, analytics and AI strategy
  • Advance analytics maturity, adoption and governance
  • Embed trusted insights into customers’ workflows and maximize value from Tableau and Salesforce investments
  • Integrate Tableau, Data 360, Agentforce and Slack capabilities into customer solutions
  • Drive adoption of embedded, conversational and proactive insights
  • Determine engagement strategies based on calculated ROI and measure analytics investment impact
  • Own complex customer programs, workstreams, analytics adoption roadmaps and success plans
  • Mobilize solution engineers, analytics consultants, data architects and partners for complex deployments and integrations
  • Define engagement charters, goals and business-impact metrics
  • Design multi-step digital workflows using AI agents
  • Determine which customer segments or tasks require human coverage versus autonomous AI support
  • Build relationships with customer IT, data and business executives
  • Navigate organizational dynamics, build consensus and influence stakeholders
  • Lead analytics maturity assessments, Center of Excellence programs and change management for self-service adoption
  • Advocate for customers internally
  • Identify expansion opportunities including embedded analytics, Tableau Cloud and AI-powered analytics
  • Mentor team members and contribute subject matter expertise
  • Identify and mitigate risks using escalation and incident-management processes
  • Guide customers on data and AI governance, permissions, certification, Trust Layer practices and safety-by-design
  • Use AI tools for account-level pattern recognition and automated root-cause analysis
  • Investigate root causes and identify new opportunities

Requirements

What you’ll need
  • Experienced business professional with a background in strategic consulting, Customer Success or SaaS
  • Hands-on BI/analytics experience with Tableau, Power BI, Qlik, Looker or similar
  • Strong understanding of analytics strategy, data-driven decision making and governance models
  • Familiarity with cloud analytics deployment and administration
  • Exceptional communication and presentation skills, including the ability to influence C-level stakeholders
  • Ability to handle objections, navigate complicated discussions and drive alignment
  • Persistence in the face of adversity and disappointment
  • Ability to clarify collaborators’ roles and responsibilities and serve as the central resource
  • Experience with large-scale or global analytics deployments
  • Knowledge of the Tableau and Salesforce ecosystem, including Data 360, CRM Analytics, embedded analytics and Agentforce
  • Tableau, other BI tool, or Salesforce certifications are preferred
  • Understanding of data architecture and semantic layers

Benefits

Comp & perks
  • Salesforce benefits and resources supporting balance and well-being
  • AI agents to accelerate employee impact
  • Reasonable accommodation during the application or recruiting process
  • Equal opportunity and non-discrimination protections