Data Architect - Advanced Manufacturing Sector - Senior Manager - Consulting - Location OPEN
EYAbout the role
Consulting Senior Manager, Digital Transformation, US
To achieve breakthrough performance in the Transformative Age, Advanced Manufacturing and Mobility (AM&M) companies must confront new challenges head on. Changing consumer behavior, increased competition in digital markets, continuous supply chain disruptions, and disruptive business models have created unprecedented growth opportunities and raised customer expectations of their technology landscape. A modern, secure, resilient, and scalable digital strategy is a foundational component of any successful organization in the digital age. Our Technology consulting competency helps organizations define their enterprise digital transformation strategy by enabling agility, resiliency, growth, and transformation through foundational technology optimization, removing the silos between ET-IT-OT technology landscape, and enabling the organization to take data driven decisions at all levels
The opportunity
You will help our clients and account teams navigate the complex world of developing end-to-end digital strategies, execution roadmaps and technology solution enablement. We’ll look to you to provide our clients with a unique business and technology perspective that’s rooted in modernized product oriented mindset with respect to how to take key technology decisions, drive a data and product driven decision making culture in the organization, and develop connected digital solutions. In addition, you will help our clients with their short- and long-term technology transformation journey aligned to their digital innovation strategy. This is a high growth area with plenty of opportunities to enhance and build your career.
Your key responsibilities
You’ll spend most of your time managing client engagement teams, working with a wide variety of clients to deliver professional services, and managing business development activities on strategic and global priority accounts.
Skills and attributes for success
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Leading large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.
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Deep understanding of Manufacturing domain and the relevant technology landscape within ET, IT and OT functions
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Understanding of Industry 4.0 and emerging technologies in the manufacturing space
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Monitoring progress, managing risk, and ensuring key stakeholders are kept informed about progress and expected outcomes.
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Managing expectations of client service delivery.
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Staying abreast of current business and industry trends relevant to the client's business
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Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.
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Fostering an innovative and inclusive team- oriented work environment. Playing an active role in counselling and mentoring junior consultants within the organization
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Cultivating and managing business development opportunities. Developing and maintaining long- term client relationships and networks.
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Assisting in the strategy, development, and implementation of a digital transformation roadmap
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Developing thought leadership for your area of expertise to help strengthen EY’s brand in the data management space.
To qualify for the role, you must have
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A bachelor's degree and approximately fifteen years of related work experience; or a graduate degree and approximately twelve years of related work experience
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A minimum of six years’ experience in providing complex consultative services in the following focus areas: information strategy, data architecture, information/data governance, cloud strategy, cloud adoption, application modernization and as-a-service models
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6-8 years of experience within industrial products or automotive/mobility connected platforms, IoT cloud and data architectures, telematics and sensor data acquisition and aggregation, IoT data and analytics and AI/ML specific to connected products and internal & customer facing digital services
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