Support and follow the Digital Transformation Expert presales execution
Check in the DTE is respecting and performing the Presales process designed in the Digital Transformation Expert program
Evaluate for each DTE his skills
Coach the DTE during the presales process with a customer
Validate the DTE solution architecture and quotation proposal
Act as a Digital Transformation Expert senior for specific customer (new segment or customer without DTE)
Establish a deep understanding of our customers business by being able to 'know how to walk in their shoes'. If require, involve a Segment Subject Matter Expert to support you in this task.
Create a "trusted technical resource" relationship with our customer's technologists and internal technical teammates.
Help develop solution architecture frameworks to support solution selling on an enterprise level. Includes providing vision, system and application architecture definition, problem anticipation and problem-solving ability.
Provide SW / HW technical architecture expertise to ensure proper solution design Understand manufacturing production floor equipment with foundational knowledge of integration methods/techniques
Lead assessment workout sessions with the goal of uncovering desired goals which align to what EcoStruxure Plant Advisor software solutions can help achieve
Build link to provocative/outcome selling model to ensure architecture views are properly integrated
Shape, drive and be held accountable for delivering significant strategic initiatives across broad scope/platform(s) in liaison with key stakeholders
Design, validate and present software solutions, including advanced product concepts, future direction, and industry solutions
Develop and deliver high quality, standardized or customized presentations and demonstrations
Develop and maintain strong teaming relationship with other members of the company to leverage product, process and engineering expertise
When it is required support the tendering team by creating a value-based pricing model
Qualifications/Requirements
Masters' degree, MBA or other advanced degree preferred in business, science, engineering, technology
Manage and possesses working industry knowledge and skillset in at least one of the SE targeted segment industry (MMM, WWW, CPG or discrete manufacturing)
Strong interpersonal skills, including creativity and curiosity with ability to effectively
communicate and influence solution direction to both technical and non-technical audiences alike across all organizational levels
Work experience in Software pre-sales
Deep understanding of the manufacturing technology stack to include IT landscape know how (including historian/ERP/MES/CMMS/MOM)
Technical acumen to interface with technologists, understand complex concepts and translate in a way that businesses or industry can understand
Knowledge or previous experience in industry domain expertise
Demonstrated problem solving and creative skills, ability to exercise sound judgment and make decisions based on market and customer trends - go beyond the status quo
Ability to deal with ambiguity, strategic agility, manage diversity and drive for results
Masters key components of Lean Transformation and how to create a culture of continuous improvement
Natural leadership and influencing skills pre-sales & execution capability to think several steps ahead and take proactive steps to address roadblocks and issues.
Strong leadership skills with proven record of embarking teams in challenging journeys
Strong coaching skills with good ability to impact and influence
English fluent, any other language is a plus
Analytics translator champion
Responsibilities:
Support and follow the project Analytics translator execution
Check if the Analytics translator is respecting and performing the Presales process designed in the E2E Customer journey process
On demand, evaluate the Analytics translator his skills
Coach the Analytics translator during the presales process with a customer
Validate the Analytics translator deliverables
Act as an Analytics translator senior for specific customer (new segment or customer without Analytics translator )
Establish a deep understanding of our customers business by being able to 'know how to walk in their shoes'. If require, involve a Segment Subject Matter Expert to support you in this task.
Translate analytics-derived insights into actionable recommendations for customer industry process.
Lead identification and prioritization of problems that analytics is suited to solve to identify and prioritize business use cases.
Engage workshop with the customer to identify and prioritize projects in which Advanced Analytics could be beneficial, define the detailed question/problem, identify the data that could be used within the project, and help identify the business data needed to produce the most useful insights to collect and prepare the right data.
Ensure that the solution solves the identified problem in the most efficient and interpretable form for users
Extract meaning and applications from the information provided by the AI software and synthesize complex analytics-derived insights into easy-to-understand, actionable recommendations that users can easily extract and execute on.
Execute a pre-study with AI partner software tool to provide potential savings with an offline dataset
Validate that the data quality and the data availability is at the right level.
Execute the Advanced analytics pilot use case by leveraging our AI partner software and proof the business value.
Ensure modelling output will be understood and useable by users. Validating model results against real life.
Drive ongoing adoption among programs and stakeholders in implementing the solution and executing on insights.
Develop and deliver high quality, standardized or customized presentations and demonstrations
Develop and maintain strong teaming relationship with other members of the company to leverage product, process and engineering expertise
Education and Experience:
Masters' degree, MBA or other advanced degree preferred in business, science, engineering, technology
Strong technical and process expertise with 5-10 years' experience in production (process and/or manufacturing)
Familiar with the industrial environment and result oriented
Understanding of the different machine learning models and how they can realistically be applied
Ability to frame a problem, shape a solution, and champion change
Data Driven and Statistically minded (6 sigma Black belt is a plus)
Very good data crunching abilities are a must
Strong leadership skills with proven record of embarking teams in challenging journeys
Strong coaching skills with good ability to impact and influence