Key Responsibilities
- Lead and mentor a high-performing engineering team dedicated to delivering world-class client reporting, data visualization, and interactive analytics experiences.
- Drive the strategic vision for client-facing data products, ensuring that complex investment data is presented with clarity, speed, and relevance to business decision-makers.
- Lead the engineering strategy for integrating Generative AI and Agentic solutions to redefine how clients interact with data (e.g., conversational analytics, autonomous reporting agents).
- Foster a culture of product excellence and user-centric innovation, bridging the gap between data engineering and the final user experience.
- Collaborate with cross-functional teams (Product, UX, Client Services) to define the next generation of investment reporting and contribute to the Client Experience roadmap.
- Champion the development of modern reporting architectures that support high-concurrency dashboarding, near-real-time insights, and seamless AI-driven interactions.
- Present product strategies and experience-led insights to executive leadership, ensuring clarity on how technology assets drive client value and retention.
Requirements
- 20+ years of engineering experience, with a strong emphasis on leadership within the FinTech sector, specifically in Client Reporting, Analytics Platforms, or Investment Intelligence.
- 10+ years of proven experience in a senior engineering leadership role, demonstrating strong strategic vision regarding Business Intelligence, Data Visualization, and User Experience.
- Demonstrated experience architecting and deploying client-facing Generative AI solutions.
- Extensive knowledge of cloud platforms (AWS/GCP/Azure) with expertise in serving data to clients at scale (e.g., high-performance BI tools, custom visualization layers, API-first reporting).
- Proficiency in reporting frameworks, SQL, and Python, with experience designing end-to-end analytics pipelines from the data warehouse to the user interface.
- Exceptional verbal and written communication skills; ability to translate complex technical challenges into compelling client-centric narratives for executive stakeholders.
Desired Qualifications
- Experience in both FinTech and BigTech environments, with a strong understanding of investment management at scale.
- A proven track record of driving engineering excellence through effective team processes and innovative solutions.
- Some experience with a focus on Agentic workflows that enhance user decision-making.
Salary Range:
$175,000 - $325,000
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Skills Required
- 20+ years of engineering experience with emphasis on leadership
- 10+ years in a senior engineering leadership role
- Experience architecting client-facing Generative AI solutions
- Extensive knowledge of cloud platforms (AWS/GCP/Azure)
- Proficiency in reporting frameworks, SQL, and Python
- Exceptional verbal and written communication skills
What the Team is Saying
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Clearwater Analytics (CWAN) Compensation & Benefits Highlights
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Retirement Support — A 401(k) plan with company match and immediate vesting is consistently included. This supports long‑term savings without waiting periods.
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Leave & Time Off Breadth — PTO and holidays are immediately eligible, with flexible time off, volunteer time off, and parental leave available. Some roles also feature work‑from‑anywhere weeks and periodic remote flexibility.
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Equity Value & Accessibility — RSUs and an employee stock purchase plan are listed in many postings alongside core benefits. This provides additional ownership opportunities beyond salary and bonus.
Clearwater Analytics (CWAN) Insights
What We Do
CWAN was founded on a simple belief: investment professionals deserve modern technology that actually works for them. Not legacy systems that slow them down. Not fragmented data that creates confusion. But one comprehensive platform that gives you complete visibility and crystal-clear insights. The result? Investment management that works as seamlessly as your investment strategy. Since our founding in 2004, CWAN has been the trusted technology partner powering the world’s leading institutional investors — from insurance companies, asset managers, and hedge funds to asset owners like corporations, endowments, and pension funds managing over $10 trillion in assets.
Why Work With Us
We continue to grow, fueled by a strong foundation, an ambitious vision, and a commitment to delivering exceptional value to our clients, partners, and team members around the world. What started as a bold idea in Boise, Idaho has rapidly transformed into a global presence. We’ve expanded our footprint significantly—now operating out of 24 offices
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Clearwater Analytics (CWAN) Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
