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Senior Product Manager, Insurance Market Insights (Hybrid)

LexisNexis Risk Solutions

LexisNexis Risk Solutions

Product
Alpharetta, GA, USA
Posted on Saturday, November 18, 2023

About the business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle – all while reducing risk.

You can learn more about the insurance vertical within LexisNexis Risk at the link below.

https://risk.lexisnexis.com/insurance.  

About the team:

Insurance Market Insights is a suite of industry benchmarking solutions that allow our customers to evaluate their KPIs (frequency, severity, mix of business, cycle time) against the rest of the industry. 

About the job:

The Senior Product Manager will assume responsibility for a set of products within the Insurance Market Insights suite of solutions.  The Senior PM will be expected to drive adoption in the market by honing and delivering on the product roadmap, supporting sales, and ensuring quality and efficiency throughout the product lifecycle.  They will develop strong technology relationships looking for ways to address customer needs and will be seen as a critical stakeholder for feedback on new feature ideas. They will informally coach more junior PMs and interview and recruit new PM candidates.   

You'll be responsible for:

  • Gathers, evaluates and has a solid understanding of customer use cases

  • Creates processes that are adept at recognizing customer needs

  • Aligns/coaches the team to ensure customer needs are met

  • Leverages metrics to track progress on customer needs and ensures that product efforts move those metrics

  • Identifies the most important data to consider and sets KPIs, priorities and dashboards

  • Develops multiple hypothesis-driven product evaluation strategies, such as AB testing, and assesses the expected efficacy of each

  • Develops clear go-to-market launch plans through coordinated development with external customer-facing teams such as marketing and sales

  • Owns or supports commercial strategy and/or pricing strategy where the customer value proposition is tested and iterated as early as possible in the product lifecycle

  • Is independently accountable for portions of launch and strategy execution as assigned

  • Drives key end-to-end lifecycle components, from planning to release

  • Writes clear requirements for complex features or products and is responsive to requests for clarifications

  • Manages product without direct supervision, involving manager or other senior leaders only when appropriate

  • Develops product vision and roadmap plan aligned with business strategy and communicates across all critical stakeholders

  • Owns metrics for product level measurement of ROI, develops tracking and communication of product level budget 

  • Writes or contributes product expertise to development and submission of business cases

  • Supports and participates in business strategic planning, contributing to sales and business development strategy

Functional Competencies

Customer Focus

  • Has the confidence and skill to conduct customer insight activities with minimal support.

  • Speaks as the voice of the customer internally

  • Able to segment markets and analyze differing needs of those sub-segments

  • Able to sense the direction of the market based on multiple considerations and to provide input on product strategy

  • Capable of applying insight of competitor and regulatory environment when making product decisions

Data-Driven Decision-Making & Analysis

  • Is proficient at pulling and accessing data from multiple sources, managing through data ambiguity and potentially conflicting data sets

  • Is proficient in taking an analytical, data-driven approach for situations where rigorous data sets are unavailable

  • Able to lead teams in identifying and testing hypotheses.


Go to Market & Product Marketing Lifecycle

  • Able to independently support GTM strategy by communicating customer value propositions, requirements and timelines to stakeholders

  • Is proficient in answering questions from sales and customers regarding feature function, pricing, packaging, value proposition and competitive position

  • Is skilled in participating in market & product messaging of desired outcomes and deliverables

Product Delivery & Development Lifecycle

  • Applies knowledge of the broader product experience to develop comprehensive prototypes

  • Able to drive solutions for complicated design challenges.

  • Able to use data-driven decision making to prioritize features and products

  • Can weigh internal and external impacts when making product or feature decisions


Strategy & Commercial Acumen

  • Able to make connections between product strategy, business strategy and personal goals to drive commercial success

  • Able to understand how their role contributes to success of product and business strategy and goals

  • Able to understand target markets and customers, seeking insights from other subject matter experts when needed

  • Able to understand buy, build or partner trade-off

  • Able to understand revenue and commercial performance


Technical Skills

  • Able to apply expertise in the product domain in serving as a technical resource for other groups

  • Is knowledgeable about new emerging technologies and those of our competitors

  • Able to understand technology trade-offs made in the product, at a high level

  • Is knowledgeable of the relationship between the company platform and technology

Qualifications

  • Minimum Years of PM Experience: 6-8 years or relative experience (preferably in auto P&C Insurance industry or related field)

  • Education to Qualify: Bachelors or Masters degree required with a technical discipline (Computer Science or Engineering)  being preferred but not essential.

  • Must be comfortable querying and analyzing data using SQL and analytical tools (Power BI preferred).

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