Strategic Accout Manager - Analytics

RESPONSIBILITIES

• Deliver predictive analytics solutions to customers using the platform.
• Understand business problems, define success criteria, map business problems into solution sets, manage deployment / data integration / solution creation, presentation of results, integration to end systems, delivery and training.
• Manage project schedules, tracking and customer communication.
• Identify newer use-case opportunities within existing customers and help sales team grow the accounts.
• Manage a team of data scientists, data architects and platform engineers require to deliver the solution and provide them with the business context for analysis and lead the data analysis process to deliver the business value for the customer

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• Coordinate and collaborate with cross-functional teams including product management, customer support & operations, sales, marketing and management.
• Be a thought leader and evangelist; and collaborate with marketing to promote in creative ways in online and offline channels. Deliver customer testimonials.
• Develop showcases, present in Webinars and Tradeshows to demonstrate predictive analytics for IIoT use cases.

5+ years of predictive analysis solution experience – including 2+ years of experience in handling multiple customers directly and delivering analytics solutions.

• Domain experience in industrial analytics for any of the following verticals: Manufacturing, Automotive, Oil & Gas, Power / Energy, Transportation, Aviation or Telecom

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• Experience with dealing with Sensor or Machine Data (M2M) or Vehicle Data (V2V).
• Hadoop/Spark experience is a big plus.
• Advanced Visualization experience is a big plus
• Ability to learn complex businesses very quickly, define problems accurately with attention to details and ability to translate requirements to analysis approaches.
• Possess strong analytical/logical thinking skills, structured analysis process and clarity of thought.
• Excellent presentation as well as verbal communication skills.
• Strong organizational, multi-tasking and time management skills.
• Must have a strong desire to aggressively learn and seek out new relevant technologies.
• Entrepreneurial and Agile - understands the demands of a private, high growth company.
• Ability to be both a leader and hands on “doer”.
• Doctorate / Masters / Bachelors degree in Computer Science / Engineering / Statistics / Mathematics / Economics / Business or equivalent.

All your information will be kept confidential according to EEO guidelines.