Customer Success & Data Analytics Engagement Manager/Director

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💎 Seniority level: Director, 10+ years

📍 Location: US

🔍 Industry: Data Analytics

🏢 Company: Viaduct👥 11-50💰 $10,000,000 Series B 10 months agoMachine Learning Software

⏳ Experience: 10+ years

🪄 Skills: AWSProject ManagementPythonSQLApache HadoopData AnalysisData MiningMachine LearningSoftware ArchitectureCross-functional Team LeadershipTableauAlgorithmsData scienceCommunication SkillsAnalytical SkillsMicrosoft ExcelProblem SolvingMicrosoft OfficeAgile methodologiesRESTful APIsMentoringNegotiationAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationComplianceRelationship buildingBudgetingRisk ManagementData visualizationTeam managementStakeholder managementLead GenerationStrategic thinkingFinancial analysisData modelingData analyticsCustomer supportCustomer Success

Requirements:

10+ years of experience in data analytics, with at least 5 years in a leadership role
Proven track record of managing and delivering large-scale analytics projects with diverse teams
Experience in customer-facing roles and the ability to build and maintain strong customer relationships.
Demonstrated ability to innovate and drive business growth through analytics
Ability to manage multiple projects simultaneously
Exceptional communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders
Prior experience using data analytics software and programming languages such as SQL, Python, R, and/or Tableau
Strong problem-solving skills and the ability to think strategically

Responsibilities:

Lead and oversee customer engagement, consulting and/or analytics projects from inception to completion, ensuring timely delivery and high-quality outputs.
Develop and maintain strong relationships with customers, understanding their needs and translating them into actionable analytics solutions.
Collaborate and provide expert guidance to the product, engineering and data science teams, fostering a culture of continuous learning and improvement.
Ensure the alignment of analytics projects with business value.
Monitor project progress, manage risks, prioritize actions, and ensure adherence to budgets and timelines.
Present findings and recommendations to senior management and customers, effectively communicating complex data insight resulting in business value.
Develop strategy and lead execution of customer engagement extensions and renewals.
Stay updated with the latest trends and technologies in data analytics and apply them to improve our software.
Work with customers to gather software requests and prioritize backlog with product teams.

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