We are looking for a Data Product Owner lead the definition, prioritization, and delivery of enterprise data initiatives across the organization. The Data Product Owner is responsible for ensuring the development of high-quality, accessible, and compliant data products that support underwriting, risk management, regulatory reporting, and operational decision-making. This role will work closely with assigned stakeholder groups across underwriting, program management, finance, actuarial, compliance, and technology teams to ensure data solutions align with business priorities and regulatory requirements. The position requires a strong understanding of P&C insurance data, regulatory reporting, and modern data management practices, combined with the ability to translate business needs into scalable data products and analytics capabilities. DUTIES AND RESPONSIBILITIES - Define and prioritize enterprise data initiatives that support finance, actuarial, claims, compliance, program performance, and operational reporting. - Serve as the product owner for key data domains and data products, maintaining roadmaps and prioritizing backlog items based on business value and regulatory needs. - Partner with assigned stakeholder groups across claims, actuarial, finance, operations, and compliance to gather requirements and align data solutions with strategic objectives. - Translate business requirements into clearly defined data product specifications, user stories, and acceptance criteria for technical teams. - Ensure data products meet standards for quality, accessibility, governance, and regulatory compliance across the organization. - Collaborate with Technology, data engineering, and analytics teams to design and deliver scalable data solutions, dashboards, and reporting capabilities. - Oversee the lifecycle of data products including requirements, design, development, testing, deployment, and ongoing enhancement. - Support insurance regulatory and bureau reporting initiatives (including statistical reporting such as NISS and other regulatory data submissions). - Promote data governance, data quality, and standardized definitions across insurance program and operational data. - Identify opportunities to improve underwriting insight, portfolio monitoring, and operational performance through enhanced data capabilities. - Facilitate cross-functional collaboration to ensure data initiatives align with enterprise architecture, security, and compliance frameworks. - Act as a subject matter expert on P&C insurance data structures, reporting workflows, and regulatory data requirements. SKILLS / KNOWLEDGE / ABILITIES - Strong understanding of Property & Casualty insurance operations, including underwriting, claims, program management, and regulatory reporting. - Ability to define and manage data products that support insurance decision-making and operational insight. - Demonstrated experience translating complex business needs into data solutions, analytics, and reporting capabilities. - Strong analytical and problem-solving skills with the ability to identify trends, risks, and opportunities within insurance data. - Excellent communication and stakeholder management skills, with the ability to align business and technical teams. - Experience working with data governance frameworks, data quality standards, and regulatory compliance requirements. - Proficiency with data tools such as SQL, PowerBI, reporting platforms, and business intelligence solutions. - Ability to manage competing priorities in a fast-paced environment while delivering high-value data initiatives. EDUCATION AND EXPERIENCE - Bachelor’s degree in Information Technology, Data Analytics, Business, or a related field (or equivalent work experience). - 8+ years of experience in the Property & Casualty (P&C) insurance industry with strong exposure to underwriting, program business, regulatory reporting, and insurance data management. - 5+ years of experience working with insurance data, analytics, or data product management. - Experience working with cross-functional stakeholders and delivering enterprise data initiatives. - Proficiency with SQL or similar data querying tools and experience working with modern data platforms and BI tools. The target compensation for this role is $115,000-$125,000 annual base salary plus bonus PHYSICAL DEMANDS AND WORK ENVIRONMENT The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. This role requires extended periods of work at a computer. The employee frequently is required to communicate, receive, and process information. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EEOC STATEMENT Sutton National Group is an Equal Opportunity Employer. All aspects of consideration for employment and employment with the Company are governed on the bases of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

• Own the full product lifecycle for AI and stablecoin initiatives, from early discovery through launch and iteration, ensuring alignment with Coastal’s broader strategy and delivering measurable business outcomes. • Set the vision and lead execution for Coastal’s Stablecoin and AI strategy, translating emerging technologies into scalable, compliant, and customer-centric financial products. • Develop and drive product strategy in alignment with company objectives, influencing both near-term execution and long-term roadmap direction. • Act as the product owner across multiple workstreams, prioritizing ruthlessly, managing trade-offs, and ensuring clarity of execution across cross-functional teams. • Collaborate deeply with engineering, design, operations, compliance, and external partners to ship high-quality solutions quickly and scalably. • Champion a hypothesis-driven, data-informed approach to product development—setting success metrics, running A/B tests, and using data to drive continuous improvement. • Partner with operations to ensure product readiness, adoption, and customer satisfaction. • Proactively identify friction in customer experience, internal workflows, or partner integration—and drive cross-functional initiatives to resolve them. • Mentor and support junior product managers, fostering a high-performing, collaborative product culture. • Represent the product team in senior-level conversations, shaping strategic direction and communicating trade-offs clearly to executives and stakeholders. • Stay ahead of emerging trends in fintech, AI, and infrastructure—bringing forward new ideas and turning them into actionable product opportunities.

• Own the product lifecycle for specific initiatives, from ideation to launch and iteration, defining the "what" and "why" behind product decisions with a sharp focus on customer value and business outcomes. • Relentlessly advocate for customer needs, using research, feedback, and empathy to guide product development and prioritize what matters most. • Collaborate with engineering, design, compliance, and operations to deliver high-quality products with a strong bias toward execution and measurable impact. • Use data to inform every stage of development, identifying opportunities, shaping priorities, measuring success, and optimizing performance. • Apply a hypothesis-driven approach to product development, leveraging A/B testing and experimentation to validate ideas and learn quickly. • Continuously identify opportunities to improve product performance, user experience, and internal workflows, driving toward constant iteration and improvement. • Stay curious and informed about emerging technologies, especially AI and automation, and proactively propose how they can be applied to improve products and internal capabilities. • Contribute to product strategy and roadmaps by synthesizing insights from customers, market trends, internal teams, and performance metrics. • Actively engage with customers, partners, and cross-functional teams to validate ideas, resolve issues, and build transparency and trust. • Thrive in a fast-paced, evolving environment, demonstrating initiative, managing ambiguity, and pushing ideas forward without waiting for permission.

Company Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Job Description As Lead Product Manager in Product Management - Data Analytics, you will define and execute the vision, strategy, and roadmap for analytics and data products that power decision-making and performance across Ad Sales. This role requires a hands-on, highly technical product leader who is fluent in data engineering concepts, relational modeling, AI/ML applications, and enterprise analytics platforms. You will translate complex business needs into scalable data products, collaborating closely with data engineering, platform teams, and business stakeholders to transform multi-source datasets into actionable, self-service insights. Key Responsibilities Product Strategy & Roadmap - Define and socialize a long-term strategy and outcome-based roadmap for analytics and data products aligned with Ad Sales priorities and NBCU technology standards. - Explore and evaluate internal/third-party datasets; shape analytical tools, AI-enabled insights, and scalable data products that deliver measurable business impact. - Drive innovation by identifying emerging technologies, data patterns, and opportunities to improve decisioning, automation, and predictive intelligence across the Ad Sales ecosystem. Solution Delivery - Translate business needs into clear, technically sound product requirements, functional specifications, user stories, KPIs, and measurable success criteria. - Work hands-on with data-querying datasets, validating logic, understanding source-to-target mappings, entity relationships, and data transformation flows. - Lead discovery and prototyping initiatives to validate concepts; partner with architecture, platform, and data engineering teams to build and deploy data pipelines, AI/ML models, and BI products. - Ensure quality, reliability, and scalability across ingestion, modeling, orchestration, and visualization layers. Program & Project Leadership - Plan and manage execution for complex cross-functional initiatives; identify, track, and communicate milestones, dependencies, and risks across globally distributed teams. - Establish governance frameworks for backlog management, prioritization, release planning, and change management. - Uphold enterprise data governance, privacy, and security standards throughout the product lifecycle. Stakeholder Engagement & Adoption - Build strong partnerships with Sales Operations, Strategy, Finance, Marketing, and Engineering; translate user needs into product capabilities and ensure successful adoption via self-service enablement. - Communicate strategy, progress, and business outcomes to leadership through compelling storytelling and data-driven insights. - Drive continuous improvement by synthesizing feedback, telemetry, usage analytics, and performance trends. Team Leadership - Coach and mentor product managers, analysts, and technical team members; foster a collaborative, experimentation-oriented culture focused on excellence and accountability. - Create alignment across engineering, business stakeholders, and leadership around vision, priorities, and delivery expectations. Qualifications - 12+ years in Technical Product Management with deep experience delivering enterprise data, analytics, or BI products end-to-end. - Demonstrated strengths across core product pillars: Business Strategy Alignment, Solution Delivery, Requirements Definition, and Project Execution. - 7+ years of hands-on experience with modern data stacks-including Snowflake, Databricks, Redshift, BigQuery, AWS/Azure, dbt, and distributed computing frameworks. - Strong SQL skills with the ability to query, validate, and analyze large datasets; familiarity with data modeling techniques (Star/Snowflake schema, dimensional modeling, entity-relationship design). - Experience building scalable data products and BI solutions using tools such as Tableau, Power BI, MicroStrategy, Looker, or similar platforms. - Familiarity with AI/ML workflows (feature engineering, model evaluation, inference pipelines) and pragmatic application of AI in analytics products. - Experience in Ad Tech and Ad Sales ecosystems including identity, audience data, measurement, forecasting, and campaign analytics. - Proven ability to lead cross-functional teams, influence executives, and communicate complex technical concepts to business stakeholders. - Strong understanding of data governance, data quality, privacy, and compliance (GDPR, CCPA) and ability to operationalize guardrails in product workflows. - Ability to "hold your own" in technical discussions with architects, engineers, and data scientists. Preferred - Experience with Adobe Analytics, Google Ad Manager/DoubleClick, FreeWheel, Nielsen, Comscore, LiveRamp, or DoubleVerify. - PMP, Scrum Master certification, or MBA. - Track record of leading global teams and shipping enterprise-scale data or AI-powered products. - Knowledge of Agile methodologies and JIRA workflows. - Passion for data storytelling, comfort navigating complex relational datasets, and the ability to articulate insights using data. Additional Requirements: - Hybrid: This position has been designated as hybrid, which currently requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary Range: $150,000 - $190,000 (bonus eligible) Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.