Digital Business Analyst

What Working at Hexaware offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance.

With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware’s commitment towards creating smiles.

“At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.”

We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion—the driving force that makes one smile and innovate, create, and make a difference every day.

Job Title: Business Analyst / Product Analyst

Job Type: Full-Time

Onsite: McLean, VA

Experience: 10+ years 

Role Overview
We are seeking a Product Analyst to help evolve critical platforms that enable lenders to make confident, data driven decisions and deliver high quality loans to market.
In this role, you will serve as a strategic and technical partner between business stakeholders and technology teams, shaping product capabilities that reduce risk, improve data accuracy, and drive efficiency at scale. You’ll work in a fast paced, collaborative environment where your insights directly influence product direction and customer outcomes.

Key Responsibilities:

• Empowering Lenders and Partners: Our team provides actionable data and insights to lenders, replacing guesswork and enhancing loan origination processes.
• Ensuring Data Accuracy: By validating closing data against industry standards (Uniform Closing Dataset/UCD), we improve accuracy and efficiency in loan closing.
• Driving Compliance and Excellence: LQA and LCLA solutions provide real-time feedback, helping lenders maintain compliance and operational excellence.
• Supporting Homeownership: Ultimately, we contribute to the organization’s mission of making homeownership accessible and sustainable for families across the nation.

Your Impact:
In this role, you will be a technical leader advancing the LQA and LCLA product portfolios, expected to:

• Lead technical analysis and data-driven discovery for complex product features spanning multiple systems, partners, and data flows
• Develop and refine robust product requirements by leveraging advanced data mapping, transformation, and integration techniques (e.g., XML, JSON, conditional logic)
• Utilize AI-enabled tools and analytical methods to accelerate feature discovery, enhance insight quality, and optimize delivery speed
• Collaborate closely with engineering, data, and quality teams to architect scalable solutions, resolve technical dependencies, and ensure seamless integration across platforms
• Define and implement success metrics, acceptance criteria, and automated validation processes to ensure features deliver measurable value, quality, and customer impact
• Identify risks, data gaps, and technical constraints early—driving proactive mitigation and informed tradeoff decisions
• Serve as a technical liaison, translating business needs and regulatory requirements into actionable, technically sound solutions that align with industry standards and compliance objectives

Required Skills and Experience:

• Bachelor’s degree in a technical field or equivalent experience.
• 5+ years in senior-level product, data, or business analysis.
• Expertise in complex data structures (XML, JSON) and applying conditional logic for data integration.
• Usage of AI tools and advanced analytics for development and test