What are the responsibilities and job description for the Director of Engineering, Client Analytics & Experience position at Clearwater Analytics?
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.
- 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.
- 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.