
Visionary Energy Business Domain Architect
9 hours ago
We are seeking a highly skilled Energy Business Domain Architect to bridge the gap between data-driven insights and business strategy across various 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.
Key Responsibilities:- Business & Data Strategy Design:
- Define comprehensive data strategies that support key business processes such as claims management, underwriting, risk analysis, and customer lifecycle management, aligning them with business objectives.
- Architect solutions that integrate data from various business functions to enable more informed decision-making while ensuring compliance with financial regulations.
- 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.
- 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.
- Business-Centric Analytics Solutions:
- Implement data analytics solutions for real-time policyholder insights, claims analysis, risk assessment, and predictive modeling for underwriting, fraud detection, and customer churn prediction.
- Architect solutions that support financial forecasting, portfolio management, and real-time transaction analysis, integrating data from risk management, credit, and fraud departments.
- Leverage data for business intelligence, enhancing operational efficiency, inventory management, supply chain visibility, and predictive maintenance for critical equipment.
- 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.
- Integrate claims management, policyholder, and underwriting data with business processes for more accurate risk assessments and claims predictions.
- Ensure smooth integration of financial data systems, fraud detection, regulatory compliance reporting, and portfolio management tools with the underlying data architecture.
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