Engagement Manager Retail
Databricks
Job Overview
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Job Description
Role Overview
The Engagement Manager Retail works to establish a deeper partnership with Retail customers by creating a dedicated line of sight to successful architecture and use of the Databricks platform to achieve the best value for our customers. They aim to exceed customer satisfaction expectations throughout the life-cycle, from orchestrating the engagement to vision to delivery and beyond.
The Engagement Manager Retail ensures our customers are making the most value of our products and services by positioning, preparing the delivery, and follow-up of our professional services and training engagements. You will be in a strategic and cross-functional position to partner closely with Sales, Customer Success, Support, and Product Teams on campaigns, programs, and content. In this position, you will report to the Director, Professional Services, working closely with cross-functional teams to deliver excellence at every stage.
The Impact You Will Have
- Identify opportunities for new services by understanding and addressing potential new use-cases and explaining the business value in the upsell or extension of services.
- You will perform as the Engagement Manager Retail in the assigned area and for meeting/exceeding Professional Services and Training bookings and revenue targets.
- Consult with clients to understand engagement scope, requirements, time, cost, and benefits. You will be responsible for estimating, scoping, and developing the statement of work documents.
- You will work closely with the sales counterpart and engage early in the sales process to understand our customers' needs, their businesses, and how success is defined, ensuring that we exceed expectations in delivery and develop valued solutions.
- You will demonstrate a passion for the job and lead by example by putting Databricks and our customers first to achieve the sales and delivery mission.
- Resolve delivery challenges, address resource contentions, scoping issues and manage expectations.
What We Look For
- 5+ years running a Professional Services and Training Services line of business with a focus on Retail clients.
- 5+ years in customer-facing roles that require a mix of influencing, validating, handling negotiations, understanding and execution.
- Data and AI domain experience working with Retail customers to realize business value through to production implementations.
- Excellent customer-facing skills, including working with Executives and other team members.
- Experience in identifying customer needs and implementing solutions.
- Service delivery and program management skills with the ability to summarize customer success outcomes into well-structured program plans.
- Travel is required up to 25%, more at peak times.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Key skills/competency
- Customer Engagement
- Professional Services
- Retail Industry Expertise
- Data & AI Domain Knowledge
- Program Management
- Solution Architecture
- Business Value Realization
- Statement of Work (SOW) Development
- Cross-functional Collaboration
- Customer Satisfaction Focus
How to Get Hired at Databricks
- Research Databricks' culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in retail professional services, data/AI, and customer engagement using keywords from the job description.
- Showcase retail and data expertise: Prepare to discuss specific examples of driving business value for retail clients with data and AI solutions.
- Practice behavioral questions: Be ready to demonstrate leadership, problem-solving, and cross-functional collaboration skills with STAR method examples.
- Understand Databricks' platform: Familiarize yourself with Databricks' Lakehouse architecture, Apache Spark, Delta Lake, and MLflow for technical discussions.
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