Enterprise Technology Architect

Posted:
10/1/2024, 1:40:52 AM

Location(s):
Karnataka, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Project Role : Enterprise Technology Architect
Project Role Description : Support sales teams in solution development, managing an internal matrix team to scope and price solutions. Lead customers through the design process. Work directly with Internal Accenture Domain Architects, Partner Architects, Client Architects, and Accenture project teams to design solutions.
Must have skills : Manufacturing Operations
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : BE or BTech or MBA not mandatory

Summary: As an Enterprise Technology Architect, you will support sales teams in solution development, manage an internal matrix team to scope and price solutions, and lead customers through the design process. You will work directly with Internal Accenture Domain Architects, Partner Architects, Client Architects, and Accenture project teams to design solutions. Your role will be crucial in ensuring the successful implementation of technology solutions for our clients. Roles & Responsibilities: - Expected to be a SME with deep knowledge and experience. - Should have Influencing and Advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Collaborate with sales teams to develop and refine solution strategies. - Manage an internal matrix team to scope and price solutions. - Lead customers through the design process. Professional & Technical Skills: - Must To Have Skills: Proficiency in Manufacturing Operations. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 15 years of experience in Manufacturing Operations. - This position is based at our Bengaluru office. - A BE or BTech or MBA degree is required.

BE or BTech or MBA not mandatory

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 750,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

Equal Employment Opportunity Statement


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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing