Senior Program Manager

About Clearwater Analytics:

Clearwater Analytics (NYSE: CWAN), a global, industry-leading SaaS solution, automates the entire investment lifecycle. With a single instance, multi-tenant architecture, Clearwater offers award-winning investment portfolio planning, performance reporting, data aggregation, reconciliation, accounting, compliance, risk, and order management. Each day, leading insurers, asset managers, corporations, and governments use Clearwater’s trusted data to drive efficient, scalable investment in more than $11 trillion in assets spanning traditional and alternative asset types.

Our mission: To be the world’s most trusted and comprehensive technology platform that simplifies the entire investment lifecycle and eventually revolutionizes the world of investing.

Job Summary:

The Senior Program Manager is responsible for overseeing the planning, execution, and delivery of complex R&D (Product & Engineering) programs and initiatives. This role drives R&D analytics and data-informed decision-making, establishes and maintains program and process governance frameworks across the R&D organization, and ensures cross-functional alignment on priorities and outcomes. The Senior Program Manager partners closely with R&D leadership, product, engineering, and other stakeholders to define requirements, track performance metrics, and communicate insights through clear, data-driven presentations and reporting.

Responsibilities:

• Leads and manages cross-functional R&D programs from planning through delivery, ensuring alignment with strategic objectives and timely execution against milestones.

• Gathers, maintains, and continuously improves R&D analytics — including key metrics, KPIs, and operational data — to provide accurate and timely visibility into R&D performance.

• Conducts in-depth analysis of R&D programs and operations, identifying trends, risks, and opportunities to support data-driven decision-making for leadership.

• Develops and delivers executive-level presentations and reports summarizing R&D analytics, program status, and governance outcomes for senior stakeholders and leadership reviews.

• Defines, implements, and manages R&D program governance frameworks, including intake processes, prioritization criteria, escalation paths, and decision-making structures.

• Owns R&D-wide process governance, establishing standardized operating procedures, best practices, and continuous improvement initiatives to enhance efficiency and quality across all R&D teams.

• Serves as a central coordination point across R&D functions, facilitating collaboration, removing roadblocks, and ensuring transparency of program status, risks, and dependencies.

Required Skills:

• Proven ability to plan, initiate, oversee, and guide cross-functional teams in executing complex programs and achieving project goals.

• Experience with generative and agentic AI tools and their application in program management and analytics workflows.

• Outstanding verbal and written communication skills with the ability to effectively convey information to diverse audiences, from individual contributors to executives.

• Ability to align program goals with business objectives, anticipate potential risks, build appropriate alert mechanisms and develop proactive mitigation strategies.

• Proficiency in analyzing R&D data, metrics, and KPIs to surface actionable insights and support strategic decision-making across the R&D organization.

• Strong analytical and critical thinking skills with the ability to resolve complex program and operational challenges effectively.

• Working knowledge of Jira (epics, stories, dashboards) and Aha! (roadmap planning, idea management); proficiency in Microsoft Office.

Education and Experience:

• Bachelor’s/ Master’s degree in business, engineering, computer science or a related field.

• 9+ years’ experience in leading a cross-functional and collaborative team.

Employee Benefits:

• Employee Health Insurance and Wellness program.

• Maternity and paternity leave.

• Competitive salary, benefits and special allowances in the compensation package.

• Continual learning and development opportunities for career growth.

• Opportunity to work in a forward thinking and agentic AI first culture and learnings.