Strategic Product Director - Risk Analytics & Modeling

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Assistant Director, Application Product Management

Hybrid Workplace - 2 days per week at offices located in Bellevue, Newark, or Hoboken

Overview

Moody's Risk Management Solutions (RMS) is the world's leading provider of mathematical models and information related to the financial impact of natural and man-made catastrophes.

We are the pioneers in the development and application of combined statistical and numerical modelling methods for the quantification of catastrophic risk, and our models are the most detailed and comprehensive catastrophe models produced anywhere in the world.

Our clients include several hundred insurance and reinsurance companies as well as brokers, banks, asset managers, hedge funds, regional and local governments, and multilateral agencies.

The Moody's RMS Product Management team is responsible for driving new and existing products, managing them from initial concept to successful delivery and market adoption. These products help insurers better understand catastrophic events and create a more resilient and sustainable risk strategy.

The Role

The Assistant Director of Application Product Management plays a pivotal role in overseeing the development, enhancement, and maintenance of software applications within the organization. This position requires a blend of technical expertise, strategic vision, and leadership skills to effectively manage the product lifecycle and drive innovation within the application portfolio. Working closely with cross-functional teams, the Assistant Director ensures that products align with business objectives, meet customer needs, and maintain high standards of quality and usability.

In this role you will manage Moody's RMS' core products along with work on the Intelligence Risk Platform driving persona workflows across the platform applications. These core products assist catastrophe managers, actuaries, underwriters, and claims departments and provide a common analytical platform to meet their needs. Whether the objective is to understand portfolio dynamics, set underwriting strategies, determine loss costs, or respond to catastrophe claims. These products provide our customers the actionable analytical insight to make informed decisions.

The candidate should have a good depth of understanding for the Cat Modeler persona for commercial lines, mid-market, SME and surplus and excess business. An understanding of PaaS and SaaS methodologies for building enterprise applications is preferrable.

You will meet with all levels from executives to users, prospects, partners, and industry analysts to communicate Moody's RMS's vision of the market, product roadmap, and competitive differentiation. You will function as a subject matter expert on the core products applications and its target market. You will understand the competitive landscape from strategy to functional capabilities and represent Moody's RMS as a domain and product expert.

Not only will you drive new products and product capabilities, but you will manage them from initial concept to successful delivery and market adoption.

You will be part of a broader team of senior product managers within the product management team that contribute to the broader Moody's RMS' strategy for risk analytics application vision.

Responsibilities

• Product Strategy: Collaborate with senior management to define the strategic direction for application products, including identifying market opportunities, defining product roadmaps, and prioritizing feature development.

• Product Development: Lead the planning, execution, and delivery of product features and enhancements, working closely with engineering, design, and QA teams to ensure timely and successful releases.

• Stakeholder Engagement: Build strong relationships with internal stakeholders, including business units, marketing, sales, and customer support, to gather requirements, solicit feedback, and communicate product updates.

• Market Research: Stay abreast of industry trends, competitive landscape, and emerging technologies to inform product decisions and identify areas for innovation and differentiation.

• Product Metrics and Analysis: Define key performance indicators (KPIs) and metrics to measure product success, track performance against targets, and identify areas for improvement.

• Team Leadership: Provide guidance, mentorship, and support to a team of product managers, fostering a culture of collaboration, innovation, and continuous improvement.

• Risk Management: Identify potential risks and challenges in product development and implementation, and proactively mitigate them to ensure project success.

• Product Evangelism: Act as a champion for application products both internally and externally, advocating for their value proposition and promoting adoption among customers and end-users.

• Continuous Improvement: Drive process improvements and best practices within the product management function, optimizing workflows and enhancing efficiency and effectiveness.

Experience/Skills Required

• Bachelor's degree in Computer Science, Engineering, Business Administration, or related field; Master's degree preferred.

• 5+ years of experience in product management, with a focus on software applications.

• 3+ years' experience in global insurance and reinsurance industry or cat modelling

• Proven track record of successfully managing complex software products from concept to launch, preferably in a B2B or enterprise environment.

• Strong understanding of software development methodologies, Agile practices, and project management principles.

• Strong leadership skills with the ability to inspire and motivate cross-functional teams.

• Excellent communication and interpersonal skills, with the ability to articulate technical concepts to non-technical stakeholders.

• Analytical mindset with a data-driven approach to decision-making and problem-solving.

• Strategic thinker with a passion for innovation and driving business results, with the ability to translate business requirements into actionable product plans.

• Experience managing cross-functional teams and driving results in a fast-paced environment.

• Experience of AI and/or Machine Learning a plus.

For US-based roles only: the anticipated hiring base salary range for this position is $124,000.00 to $179,800.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role may be eligible for a completion bonus. Moody's also offers insurance and a discounted employee stock purchase plan for limited duration employees.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's.