Senior Product Manager

The Senior Product Manager will be responsible for designing, developing, and overseeing activities related to the core Clearwater investment data management platform. Our market leading, cloud native, single instance multi-tenant architecture intakes data from 1200+ sources and creates a golden source of truth. Reporting to a senior product leader based in the U.S, this role will oversee defining the product requirements and planning its development to production and working closely with clients to make them successful. Additionally, the Product Manager is tasked with crafting the product roadmap necessary to achieve bookings, client NPS, and gross margin targets associated with their component. To facilitate growth, the product manager will collaborate with internal stakeholders, clients, and prospects to identify new product capability requirements. They maintain close collaboration with their development teams to ensure the successful creation and introduction of these new capabilities to the
market. Furthermore, the Product Manager takes charge of testing and implementing these fresh features with clients and actively promotes future growth to a broader audience of Clearwater clients and prospects.

Responsibilities:

• Team Span: responsible for prioritizing initiatives for 1 - 2 scrum teams spanning 12 – 15 engineers
• Continuously evaluate current data platform, and build a short (0 – 6 months), medium (6 – 12 months) and longer-term roadmap for a highly scalable, automated and resilient data platform
• Prioritize decisions across products with data driven justification
• Establish alignment on the product roadmap among multiple development teams.
• Efficiently lead the development of cross-product capabilities.
• Contribute to the formulation of the department's development and training plan.
• Advocate for a culture of communication throughout the organization.
• Build release specific product briefs that articulate the client problem for target personas, value priority and high-level approach
• Keep current with latest technology development in data management, competitors and apply those insights to CW product strategy and execution.

Required Skills:

• Prior experience in Investment management industry with strong knowledge of Security Reference, Trade, Analytics, Pricing, Accounting (ABOR/IBOR) , Performance, Risk, Custodydata domains is a must have.
• Proven ability to manage roadmaps for data pipelines, Data management feature/functions (Data Quality, Data Governance, Information delivery etc.) including execution, implementation, and influencing skills within the asset management space.
• 3+ years of experience of as a Product Manager that owns all aspects of a successful product throughout its lifecycle in a B2B enterprise SaaS environment.
• Knowledge of capital markets and expertise in equity, fixed income and derivatives is key
• At least 5 years of experience in structured financial data management platforms across one or more of these: master data management, ETL/ELT, data warehousing or data lake house
• Exemplary interpersonal, communication, and project management skills
• Excellent team and relationship building abilities, with both internal and external parties (engineers, business stakeholders, partners, etc.).
• Ability to work well under pressure, multitask, and maintain keen attention to detail.
• Strong leadership skills, including ability to influence via diplomacy and tact.
• Experience working with Cloud Platforms (AWS/Azure/GCP).
• Ability to work with relational and NoSQL databases.
• Excellent attention to detail and strong documentation skills.
• Outstanding verbal and written communication skills.
• Strong organizational and interpersonal skills.
• Exceptional problem-solving abilities.
• Openness to work and coordinate in US time zone

Education Background:

• Bachelor's/master’s degree in computer science, engineering or a related field.
• In absence of a technical education, proven hands-on technical experience will be required.

Nice to have:

• Experience of working in asset management company or insurance firm is helpful
• CFA, FRM cleared candidates get an added advantage
• Experience of working on AI, machine learning and/or LLM based projects is an edge
• Experience of working with Portfolio managers, traders, researchers is valuable
• Knowledge, experience of working on private assets is helpful