Manufacturing Business Domain Architect

Req ID: 332884

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Manufacturing Business Domain Architect to join our team in Bangalore, Karn taka (IN-KA), India (IN).

"Job Duties: Job Summary:
We are seeking a highly skilled Data & Analytics Business Domain Architect to bridge the gap between data-driven insights and business strategy across Insurance, Banking, Finance, Manufacturing, and Energy sectors. This hybrid role will combine deep technical expertise in data architecture and analytics solutions with a strategic understanding of the business domain to deliver transformative, scalable, and actionable data solutions. The Data & Analytics Business Domain Architect will lead the design and implementation of both business and data architecture strategies, ensuring that data is not only structured and accessible but also aligned with the companys business goals. The ideal candidate will have hands-on experience designing data solutions while ensuring alignment with business processes, operational needs, and industry-specific regulations. Key Responsibilities: 1. Business & Data Strategy Design: Insurance: Define a comprehensive data strategy that supports key business processes such as claims management, underwriting, risk analysis, and customer lifecycle management, aligning them with business objectives. Banking & Finance: Architect solutions that integrate data from various business functions (e.g., risk management, financial reporting, fraud detection) to enable more informed decision-making while ensuring compliance with financial regulations (e.g., SOX, Basel III). Manufacturing: Design integrated data solutions for optimizing business processes in production, supply chain, inventory management, and equipment maintenance, ensuring that data supports business continuity and operational excellence. Energy: Develop a unified data architecture that supports operational processes related to energy production, distribution, and consumption. Design solutions for predictive maintenance, energy forecasting, and optimization of resources. 2. Aligning Business Needs with Data Architecture: Work closely with business stakeholders to understand their goals, processes, and pain points, and translate these needs into data architecture and analytics requirements. Ensure the architecture supports business processes such as customer segmentation in insurance, transaction processing in banking, production planning in manufacturing, and load forecasting in energy. Design data flows and structures that enable business units to derive actionable insights and optimize decision-making through data-driven strategies. 3. Business-Centric Analytics Solutions: Insurance: Implement data analytics solutions for real-time policyholder insights, claims analysis, risk assessment, and predictive modeling for underwriting, fraud detection, and customer churn prediction. Banking & Finance: Architect solutions that support financial forecasting, portfolio management, and real-time transaction analysis, integrating data from risk management, credit, and fraud departments. Manufacturing: Leverage data for business intelligence, enhancing operational efficiency, inventory management, supply chain visibility, and predictive maintenance for critical equipment. Energy: Design analytics solutions that integrate operational and sensor data, supporting real-time decision-making for energy distribution, load forecasting, and asset optimization. 4. Data Integration with Business Applications: Lead the design and implementation of seamless integration between enterprise resource planning (ERP) systems, customer relationship management (CRM) tools, and data platforms in your respective domain. Insurance: Integrate claims management, policyholder, and underwriting data with business processes for more accurate risk assessments and claims predictions. Banking & Finance: Ensure smooth integration of financial data systems, fraud detection, regulatory compliance reporting, and portfolio management tools with the underlying data architecture. Manufacturing: Integrate"