About the role
- Lead end-to-end implementations, spanning discovery, requirements gathering, solution design, and deployment execution.
- Map and validate complex financial processes — including lending, claims management, customer onboarding, and compliance workflows.
- Design solutions aligned with business KPIs, regulatory requirements, and risk control frameworks.
- Configure and operationalize the platform within enterprise IT and data ecosystems, ensuring seamless integration and alignment with business goals.
- Serve as the primary solution owner, accountable for delivery timelines, milestone adherence, and measurable value realization.
- Produce executive-ready dashboards, insights, and strategic recommendations for senior stakeholders.
- Act as the primary technical contact and platform expert, providing proactive guidance, timely issue resolution, and continuous support throughout the customer lifecycle.
- Ensure data accuracy, completeness, and lineage across multiple interconnected systems.
- Identify and resolve data anomalies, integration issues, and process gaps, with particular rigor for audit-sensitive use cases.
- Collaborate cross-functionally with Product, Engineering, Sales, and Customer Success teams to strengthen system robustness and ensure on-time delivery.
- Enable customer Centers of Excellence (COEs) and partner organizations through targeted training and structured knowledge transfer.
- Analyze process data to surface trends, inefficiencies, and actionable improvement opportunities.
- Conduct root-cause analysis using advanced data analytics, log analysis, and process intelligence techniques.
- Apply AI and machine learning to detect anomalies, identify bottlenecks, analyze process hierarchies and variants, and perform correlation and trend analysis.
- Progress insights along the analytical maturity curve — from descriptive through predictive to prescriptive recommendations.
- Leverage generative AI tools to accelerate analysis, reporting, and insight synthesis, with appropriate validation rigor.
- Build repeatable analytical frameworks and reusable models to drive scalable delivery.
- Develop, maintain, and present customer-facing dashboards and performance reports.
- Translate complex, data-intensive findings into clear, business-focused narratives tailored to the audience.
- Communicate outcomes with equal effectiveness to technical teams and C-suite executives.
- Partner cross-functionally with Sales, Customer Success, Product, Engineering, and Data Science teams to align on priorities and deliver integrated outcomes.
- Maintain comprehensive documentation of solution designs, platform configurations, data assumptions, and process maps to support scalability and knowledge transfer.
- Enable customer teams through training programs, best practice guides, and ongoing advisory support.