Customer Success Engagement Manager
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Job Description
Customer Success Engagement Manager leading customer analytics engagements and AI solution implementations. Viaduct helps manufacturers improve yield, eliminate rework, and reduce operational costs.
Responsibilities:
- Lead and oversee customer engagements, consulting, and/or analytics projects from inception to completion, ensuring timely delivery and high-quality outputs
- Develop and maintain strong customer relationships and translate customer needs into actionable analytics solutions
- Collaborate with product, engineering, and data science teams and provide expert guidance
- Ensure analytics projects align with business value
- Monitor project progress, manage risks, prioritize actions, and adhere to budgets and timelines
- Present findings and recommendations to senior management and customers, communicating complex data insights and business value
- Develop strategy and lead execution of customer engagement extensions and renewals
- Stay current with data analytics trends and technologies and apply them to improve the software
- Gather software requests from customers and prioritize the backlog with product teams
- Translate business visions into realistic technical implementations and identify and pilot value-based use cases
- Support AI solution implementations in the automotive domain from proof of concept into production
- Lead pre-sales activities and support proofs of concept and customer engagement delivery
- Own demo structure, components, environment, availability, and demo delivery to current and prospective customers
- Attend, participate in, and lead on-site and virtual conferences and webinars
- Follow security and privacy responsibilities, including policies, training, data protection, and incident reporting
Requirements:
- 7+ years of experience in data analytics, including at least 5 years in a leadership role
- Proven track record managing and delivering large-scale analytics projects with diverse teams
- Experience in customer-facing roles and 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, including conveying 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 strategic thinking
- Preferred: M.S. or Ph.D. in Data Science, Statistics, Computer Science, or related field
- Preferred: 3+ years of experience working at a big-3 consulting firm
- Preferred: Knowledge of machine learning algorithms and predictive modeling techniques
- Preferred: Familiarity with Hadoop, Spark, AWS, or Azure
- Preferred: Knowledge of manufacturing operations, supply chain, service operations, or quality management
- Follow security and privacy policies and procedures
- Follow Employee Handbook guidelines
- Participate in new hire and annual security and privacy training
- Treat data security and privacy as a primary job responsibility
- Report discovered security incidents as bugs
Benefits:
- 15% performance-based bonus (compensation is 85% fixed salary + 15% bonus)
- Up to 100% work from home
- Travel range of 0–50%
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