Application Architect

Posted:
8/23/2024, 1:44:22 PM

Location(s):
Karnataka, India ⋅ Bengaluru, Karnataka, India

Experience Level(s):
Expert or higher ⋅ Senior

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

Project Role : Application Architect
Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests.
Must have skills : Manufacturing Operations
Good to have skills : NA
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As an Application Architect, you will provide functional and/or technical expertise to plan, analyze, define, and support the delivery of future functional and technical capabilities for an application or group of applications. You will assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Your typical day will involve collaborating with cross-functional teams, analyzing requirements, designing application solutions, and ensuring the successful delivery of projects. Roles & Responsibilities: - Expected to be a SME with deep knowledge and experience. - Should have influencing and Advisory skills. - Engage with multiple teams and responsible for team decisions. - Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems. - Collaborate with cross-functional teams to analyze requirements and design application solutions. - Provide functional and technical expertise to plan, analyze, define, and support the delivery of future capabilities for applications. - Assist in facilitating impact assessment efforts for client work requests. - Produce and review estimates for client work requests. 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 18 years of experience in Manufacturing Operations. - This position is based at our Bengaluru office. - A 15 years full-time education is required.

15 years full time education

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 742,000 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.

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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