Principal Product Manager I

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 LexisNexis Risk at https://risk.lexisnexis.com/insurance

About the Role

The Principal Product Manager I is accountable for driving data quality, influencing contributory data strategy, and partnering with Data Governance and cross-functional stakeholders to ensure data is managed, governed, and utilized consistently across the enterprise. This role leads the identification and resolution of complex business and product challenges, influencing outcomes across delivery teams, organizations, and disciplines with minimal direction. In addition, this role will propose new business and/or product strategies that reflect the customer's current and future needs and will drive execution.

This is a hybrid position based out of our Alpharetta, GA headquarters, with an in-office presence required three days per week.

Responsibilities

• Establish metrics, KPIs, and quality measures to assess health, completeness, accuracy, and business value

• Collaborate with technology partners to influence data modernization decisions, advocate for strong data stewardship, governance practices, and sustainable management of contributory data assets

• Partner internally and externally investigate and resolve data quality issues, articulate the business value of contributory data, and foster confidence in data-sharing programs and strategies

• Define contributory data stewardship practices, drive root-cause analysis, prioritize remediation efforts, partner with technology teams to implement long-term corrective actions, and monitor the effectiveness of remediation initiative

• Validate product and contributory data strategy based on knowledge of customers, competitors and market trends

• Prioritize hypothesis-driven product evaluation strategies, such as AB testing, while contributing to broader data-analyses strategies and platforms

• Develop go-to market strategy and launch plans at the product level through coordination with stakeholders and be accountable for coordinated execution across product, technology, sales, marketing and other customer-facing teams

• Leverage data insights and governance standards to guide prioritization and investment decisions

• Write and/or consult on requirements across multiple complex and cross-functional feature areas

• Drive contributory strategy and roadmap to deliver business impact for multiple products/product lines

Customer Focus

• Partner with customers to identify, investigate, and resolve data quality issues while promoting best practices for data stewardship and management

• Articulate the value of contributory data participation and help customers understand how data quality and contribution practices support better business outcomes

• Understands in depth competitive products and strategy, and how they influence customer decisions

• Discerns how value is defined and perceived by each customer segment

• Interacts with other companies in their industry domain and engages with start-ups

• Validates product strategy based on knowledge of customers, competitors and market trends

Data-Driven Decision-Making & Analysis

• Drives formulation of overall research/testing strategy and ensure decisions are based on data

• Prioritizes hypothesis-driven product evaluation strategies, including AB testing, while contributing to broader data-analyses strategies and platforms

• Evaluates the balance between quantitative and qualitative data needed for decision making

• Is skilled in breaking down large complex issues into simpler elements that can be effectively addressed

• Is energized by complex issues and problems that require creative solutions

Go to Market & Product Marketing Lifecycle

• Develops go to market strategy and launches plans at the product level through coordination with stakeholders and be accountable for coordinated execution across product, sales, marketing and other customer-facing teams

• Ensures ROI for go to market strategy, including revenue goals

• Develops appropriate metrics and tracking of launch initiatives and ensures reporting to stakeholders

• Develops positioning, themes and messaging

• Evangelizes product for sales, customers and media

Product Delivery & Development Lifecycle

• Actively gathers data from multiple sources (customer, market, revenue, etc.) to drive effective solutions to business problems and strategic issues.

• Oversees the product strategy, planning and execution.

• Is a thought leader and innovator for his/her product incorporate emerging technologies.

• Is considered an expert in the process of defining, documenting, and implementing new features.

• Writes or consults on requirements across multiple complex and cross-functional feature areas.

Strategy & Commercial Acumen

• Drives contributory strategy and roadmap to deliver business impact

• Assesses new data opportunities for commercial viability

• Understand how commercial decisions for a product will impact other areas of the business or customer

• Leads development of business cases for investment

Technical Skills

• Has a unique history and/or expertise in product/data domain and serve as a technical resource for other groups

• Identify, evaluate, and champion AI-enabled capabilities that improve data quality, operational efficiency, product performance, and customer outcomes while aligning with business objectives and governance standards

• Apply company platforms and technologies in product decisions

• Knowledgeable about emerging technologies

• Identify product improvement opportunities through different or new applications of technology

Personal Capability

• Practices Self-Development

• Models self-development and supports others to take development actions

• Creates an atmosphere of continual improvement, in which self and others are encouraged to exceed the expected results

• Seeks out high-level sponsors and mentors

• Seeks out future career moves and job assignments

Solves Problems and Analyzes Issues

• Identifies and highlights new trends, potential problems and opportunities early

• Effectively coaches others on how to analyze information to solve problems

• Encourages and coaches others to seek alternative ways to solve complex problems

Innovates

• Actively contributes to team culture of innovation

• Focuses innovative effort on highest impact issues and areas

• Encourages and supports others to share new ideas

• Is willing to take calculated risks

• Learns quickly from success and failure and effectively applies learning

Interpersonal Skills

• Communicates Powerfully and Prolifically

• Delivers presentations clearly and with high impact

• Develops a trusted 2-way communication interface between the team and stakeholders

• Provides a definite sense of direction and purpose

• Provides people with a clear understanding of how their work fits within a wider organization

Collaboration and Teamwork

• Promotes a high level of cooperation between all members of the work group

• Keeps team informed of all relevant information affecting the organization, team members and their work

• Achieves objectives requiring a high level of cooperation from people in other parts of the organization

• Takes the lead in resolving conflict within a work group

• Looks for ways for team to work with other teams and divisions

Builds Relationships

• Balances “getting results” with a concern for others’ needs

• Is in touch with issues and concerns of individuals within the work group

• Initiates contact with other teams or divisions to build relationships that enhance the business results

• Is trusted by members of work group and across the organization

• Adds value to the relationship

• Manages conflict within work groups

Inspires and motivates others to high performance

• Ensures that personal style encourages a positive environment

• Energizes people to achieve high levels of performance

• Creates an environment that enables individuals to be motivated

• Inspires and sustains engagement through a shared purpose and vision

• Is able to employ different motivational strategies for different people and situations

Develops Others

• Exercises active listening and questioning skills to effectively understand another person’s needs

• Utilizes PDP to its full potential

• Coaches others on regular basis

• Provides reinforcements on efforts and progress

• Gives timely, specific and appropriate feedback about development needs

• Advocates for individuals with strong performance and potential within the organization

• Encourages team members to take personal ownership and responsibility for their own development

Focus On Results

• Drives for Results

• Does everything possible to achieve goals

• Regularly measures and evaluates progress

• Accepts responsibility for the results-based outcomes of group

• Holds others accountable and encourages others to take accountability for achieving results

• Shares credit and recognition with others for achieving goals

Requirements

• Suggested minimum years of PM or related experience: 10-15 years

• Led enterprise data quality initiatives that improved accuracy, completeness, and trust in critical data assets while establishing governance and stewardship practices

• Hands experience and ability to independently extract and analyze data, identify key insights, and connect findings to business outcomes through clear, data-driven narratives that inform strategic decision-making.

• Developed and executed data strategies while partnering with customers to improve quality, governance and business outcomes

• Influenced strategic decisions and aligned cross-functional teams to deliver complex data and product initiatives spanning multiple organizations

• Education to Qualify: A degree in Business Administration (MBA), Data Analytics, Data Science, or a related discipline. is strongly preferred, but not essential.

U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.

This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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