Entity: - Accenture Strategy & Consulting

Team: - Global Network – Data & AI

Practice: - Product Engineering

Title: - Ind & Func AI Value Strategy Consultant

Job location: - Bengaluru/Gurgaon/Mumbai/Pune/Hyderabad

About S&C - Global Network: -

Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.

WHAT’S IN IT FOR YOU?

A Data Architect is a professional who specializes in developing and optimizing database models to store and retrieve company information. They play a crucial role in designing and maintaining data architecture, ensuring data integrity, security, and efficient storage. If you’re passionate about data and have the expertise to shape robust data solutions, this role might be a great fit for you.

Responsibilities

As a Data Architect, your responsibilities will include:

Developing Database Solutions:

• Create and optimize database structures to efficiently store and retrieve company data.
• Implement data migration strategies when transitioning to new systems.
• Collaborate with IT teams to set up databases and related tools.

Structural Requirements Analysis:

• Analyze structural requirements for new software and applications.
• Understand business needs and translate them into effective data models.

Data Migration:

• Migrate data from legacy systems to modern solutions.
• Ensure smooth data transition without compromising integrity.

Data Model Design:

• Design conceptual and logical data models.
• Create flowcharts to visualize data processes.

Performance Optimization:

• Continuously improve system performance by conducting tests and troubleshooting.
• Integrate new elements to enhance efficiency.

Security and Collaboration:

• Define security procedures for data access and management.
• Collaborate with the Data Science department to identify future needs and requirements.

Data Strategy Development:

• Strategic Thinking: Experience on understanding the client requirement, defining & implementing data strategy aligned with organizational goals.
• Data Governance: Establish policies and procedures for data management, quality, and compliance.
• Data Lifecycle Management: Define data lifecycle stages from creation to archival.