Lead Architect

Role

Location

Type

Shift Timings

Required Certification:

Mandate Skill:

Responsibilities:

• Take a leadership role in Designing and architecting the Pega Decisioning solutions that align with business objectives, ensuring scalability, performance, and maintainability.
• Leads the development and implementation of decisioning strategies that leverage machine learning, predictive analytics, and complex business rules to optimize customer interactions and business outcomes.
• Leads the effort in defining, configuring, and optimizing complex business rules, decision logic, and decision tables within Pega Decisioning to align with business requirements and compliance standards.
• Leads the development and management of adaptive and predictive models within the Pega Decisioning platform, continually improving accuracy and effectiveness.
• Oversees the integration of data from various sources, including customer data, transactional data, and external data providers, to enable data-driven decision-making
• Collaborates with business stakeholders, data scientists, developers, and other teams to ensure successful implementation and continuous optimization of decisioning solutions
• Oversees the monitoring, analysis and fine-tuning of decisioning strategies to improve efficiency, responsiveness, and overall performance and ensures adherence to regulatory and compliance standards.
• Creates and maintains comprehensive documentation related to advanced decisioning strategies, models, and configurations.

Required Skills & Other Attributes:

• Excellent interpersonal skills and the ability to communicate, partner, and collaborate.
• Dedication to achieving outstanding results. Driven and team-oriented with a demonstrated ability to lead by example.
• Able to pick up new concepts and technology rapidly; able to explain it to both business & IT stakeholders.
• Strong expertise in data analysis, machine learning, predictive modeling, and complex business rule development.
• Exceptional problem-solving and analytical skills.
• Able to work in teams as well as independently.
• Advanced understanding and knowledge of SQL.