Candis C.

Unum provides comprehensive financial insurance products to industries of all sizes.

• Built and led the Product & Transformation (AI/ML) function — defined strategy, multi-year roadmap and governance for model-driven productization across claims, underwriting and customer experience.
• Launched production ML solutions for claims triage and underwriting risk-scoring, operationalizing models via ML‑Ops pipelines to move from proof-of-concept to live deployments.
• Reduced manual claims review and adjudication touchpoints by automating workflows and model-assisted decisioning, shortening cycle time and improving customer responsiveness.
• Established model governance, explainability and data-privacy controls to meet insurance regulatory and actuarial requirements while enabling faster model refresh cycles.
• Partnered with actuarial, legal, IT and operations to embed AI into core processes — delivered measurable improvements to accuracy, throughput and operational cost.
• Recruited and mentored cross-functional teams of product managers, data scientists and ML engineers; introduced outcome-based KPIs and continuous experimentation.

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.

• Owned product strategy and end-to-end roadmap for customer-facing features, prioritizing customer metrics and long-term value over short-term wins.
• Led data-driven experimentation (A/B testing) and analytics to validate hypotheses, iterating quickly to improve conversion, engagement and retention.
• Coordinated large, cross-functional teams (engineering, UX, operations, legal) to ship at Amazon scale and maintain Day 1 speed while managing risk.
• Defined metrics, tracking and forecasting to inform trade-offs and executive decisions; translated customer insights into prioritized backlogs.
• Scaled product launches across regions and services by documenting launch playbooks and automating rollout pipelines to minimize operational toil.

Launch Consulting Group is a digital transformation consulting firm for all sectors, from healthcare and government to enterprise tech and retail.

• Led the principal practice for digital transformation and Data & AI — defined go-to-market, built capability offerings and shaped delivery model for enterprise clients.
• Won and managed multi‑million‑dollar engagements across healthcare, finance and retail; translated strategy into executable transformation programs and measurable outcomes.
• Designed repeatable delivery accelerators (data platforms, ML pipelines, governance frameworks) to shorten time-to-value and reduce implementation risk.
• Served as senior client advisor — scoped roadmaps, set success metrics, and aligned stakeholders from C-suite to engineering managers.
• Scaled practice talent through hiring, mentoring and establishing Centers of Craft for data, cloud and software engineering.

Accenture embraces the power of change to create 360° value and shared success in Indonesia for our clients, people, shareholders, partners and communities.

• Acted as Product Solution Architect and Delivery Manager for large enterprise transformation programs — authored solution architectures that balanced business requirements, scalability and cost.
• Owned delivery lifecycle for complex integrations: defined technical designs, managed delivery sprints, and ensured end-to-end acceptance criteria were met.
• Introduced CI/CD, automated testing and infrastructure-as-code practices to reduce release risk and accelerate deployments.
• Managed multi-vendor delivery, procurement and third‑party integrations while maintaining governance, security and compliance standards.
• Regularly briefed executive sponsors and translated technical risk into business decisions to keep programs on schedule and budget.

Building trust for today and tomorrow.

• Delivered product solution architecture and led delivery for client transformation programs within PwC’s advisory practice — focused on secure, auditable solutions for regulated industries.
• Aligned product and technical design with compliance, auditability and risk frameworks to satisfy internal controls and external regulatory requirements.
• Defined integration patterns between legacy systems and modern cloud platforms; reduced operational risk through robust data lineage and governance practices.
• Coordinated stakeholder governance across legal, risk and finance functions to ensure deliverables met client assurance expectations.
• Produced client-facing artifacts (solution blueprints, TCO/ROI analyses, migration plans) used in executive decision-making and procurement.

• Owned pricing strategy and technical program management for product lines — designed and implemented pricing engines and rule frameworks to optimize margin and competitiveness.
• Led cross-functional delivery of pricing systems: defined data requirements, built telemetry for price elasticity experiments, and managed phased rollouts.
• Implemented A/B testing and analytics to measure pricing impact on conversion, revenue and customer lifetime value; translated learnings into iterative pricing rules.
• Reduced pricing latency and operational manual work by automating feeds, validations and reconciliation processes between pricing, billing and downstream systems.
• Coordinated stakeholders across finance, sales and engineering to ensure pricing changes met commercial goals and compliance constraints.