Senior Pega Decisioning Engineer – Customer Engagement, AI, and Cloud Integration

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2 Locations
In-Office or Remote
Fintech • Financial Services
The Role

Job Summary

Synechron is seeking a highly experienced Senior Pega Decisioning Engineer to lead the design and implementation of advanced decisioning frameworks that enhance customer engagement and operational efficiency. This role involves developing real-time and data-driven decision strategies, integrating predictive analytics, and ensuring the scalability and compliance of decisioning solutions in enterprise environments. Your expertise will enable organizations to deliver tailored customer experiences, optimize outcomes, and support business growth through intelligent decisioning.

Software Requirements

Required:

  • Extensive experience with Pega Customer Decision Hub and Decisioning frameworks (7+ years)

  • Proven expertise in designing Next-Best-Action (NBA) strategies, decision strategies, and decision flows

  • Ability to configure decision tables, decision trees, predictive models, and adaptive analytics in Pega

  • Working knowledge of Pega Decisioning tools and APIs

  • Experience with data integration to support decision strategies, including external data sources

  • Familiarity with SQL and relational databases for data management and model validation

  • Strong understanding of enterprise architecture, scalability, and performance optimization

Preferred:

  • Experience with cloud deployment of decisioning solutions (AWS, Azure)

  • Knowledge of AI/ML techniques and frameworks supporting decisioning, such as predictive analytics or gen AI applications

  • Certification in Pega Decisioning (preferred)

Overall Responsibilities

  • Lead the design, development, and optimization of decisioning strategies and customer engagement models using Pega Decisioning tools

  • Translate business objectives and customer data into scalable decision models and actions

  • Support integration of predictive analytics, ML models, and external data feeds to improve decision accuracy and relevance

  • Implement adaptive learning and real-time decision flows to enhance customer experience and operational outcomes

  • Conduct performance tuning and scalability assessments to support high-volume decision processing

  • Work with business analysts, data scientists, and technical teams to refine decision strategies and ensure alignment with enterprise standards

  • Lead technical reviews, mentorship, and best practice enforcement across projects

  • Enable compliance with security, audit, and governance standards in decisioning solutions

  • Maintain detailed documentation of decision logic, data sources, and model configurations

  • Monitor decision performance, analyze trends, and continuously improve decision strategies

Technical Skills (By Category)

Programming & Model Configuration (Essential):

  • Configuration of decision strategies, decision tables, decision trees, predictive models, and adaptive analytics within Pega Decisioning

  • Experience with Java and APIs for custom integrations and extensions

Preferred:

  • Experience with AI/ML frameworks supporting decisioning, such as LangChain, Hugging Face, Llama

Data & Integration:

  • Strong data integration skills, capable of working with external data sources and APIs

  • SQL proficiency for data validation and model testing in relational environments

Platforms & Cloud:

  • Azure or AWS cloud deployment of decisioning solutions (preferred)

  • Familiarity with containerization and orchestration (Docker, Kubernetes) (preferred)

Tools & Frameworks:

  • Pega Decisioning platform tools and APIs

  • Data science and predictive modeling tools supporting decision logic

Security & Compliance:

  • Understanding of secure data handling, access control, and enterprise governance standards

Experience Requirements

  • 7+ years of hands-on experience designing, developing, and deploying decisioning solutions using Pega Decisioning tools

  • Proven ability to build next-best-action strategies, decision models, and adaptive analytics in large enterprise settings

  • Experience with cloud deployment and data integration supporting decision strategies (preferred)

  • Background in AI/ML integration, predictive modeling, or customer engagement solutions (preferred)

  • Prior experience supporting compliance, privacy, and security standards in regulated industries

Day-to-Day Activities

  • Design and refine decision strategies and customer engagement workflows based on business goals and customer data

  • Implement decision models, decision tables, and predictive analytics in Pega Decisioning platform

  • Collaborate with data scientists, business analysts, and developers to enhance decision accuracy and processing speed

  • Support integrations with external data sources, APIs, and AI/ML frameworks for decision improvement

  • Conduct testing, performance tuning, and validation of decision strategies

  • Support deployment, scaling, and monitoring of decisioning solutions in cloud environments

  • Analyze decision performance metrics, identify gaps, and implement continuous improvements

  • Document decision logic, data sources, and model configurations for compliance and operational transparency

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related fields

  • 7+ years of experience with Pega Decisioning and Customer Decision Hub

  • Industry certifications in Pega Decisioning (preferred)

  • Proven experience building decisioning frameworks supporting large-scale customer engagement and operational processes

Professional Competencies

  • Strong analytical and problem-solving skills related to decisioning and customer engagement

  • Effective communication skills for engaging stakeholders, data scientists, and technical teams

  • Leadership qualities for guiding teams and enforcing best practices in decision model development

  • Adaptability to evolving AI/ML techniques, regulatory standards, and enterprise requirements

  • Innovation mindset to incorporate new decisioning tools, AI frameworks, and automation strategies

  • Time management skills for prioritizing tasks and balancing multiple projects

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

Synechron Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Synechron and has not been reviewed or approved by Synechron.

  • Fair & Transparent Compensation Pay is frequently characterized as competitive, particularly relative to large service-consulting peers and in certain in-demand skill areas. Compensation sentiment appears strongest when staffing is stable on strong client engagements and for market-aligned roles in major hubs.
  • Healthcare Strength Healthcare coverage is often portrayed as a strong point in the U.S., with broad coverage and relatively favorable out-of-pocket experiences. Core medical, dental, and vision options are consistently described as meeting or exceeding a baseline expectation for consulting roles.
  • Equity Value & Accessibility Equity was made broadly accessible through a company-wide RSU grant tied to a major revenue milestone. This is positioned as a notable upside even if it is framed as a one-time recognition event rather than an ongoing program.

Synechron Insights

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The Company
Maharashtra
12,827 Employees
Year Founded: 2001

What We Do

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+, and has 48 offices in 19 countries within key global markets. For more information on the company, please visit our website: www.synechron.com.

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