Senior Manager - Data Analysis & Insights

Genworth • Richmond, VA

1d • Hybrid

About The Position

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: Make it human. We care about the people that make up our customers, colleagues, and communities. Make it about others. We do what's best for our customers and collaborate to drive progress. Make it happen. We work with intention toward a common purpose and forge ways forward together. Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Senior Manager - Data Analysis & Insights POSITION LOCATION Richmond, VA (hybrid) This role is not eligible for employment visa sponsorship Do you thrive on using critical thinking and data to shape business strategy and tackle challenging, ambiguous problems? Are you a proactive self-starter who seeks improvements independently? Is your curiosity always leading you to discover new information and connections? Do you find satisfaction in driving results and strategy through creative problem-solving and data analytics? We are transforming the analytics field within the Long-Term Care insurance industry through innovative technology, user-friendly design, and forward-thinking leadership. Our analytics team has consistently demonstrated its value, and we continue to make significant investments in our growth. By leveraging advanced analytical tools and methods, we extract strategic insights from our data that drive meaningful change. To expand our impact, we are looking for a Senior Data Analysis & Insights Manager to join our dynamic Long-Term Care Strategic Insights team. This role will utilize data expertise, critical thinking, curiosity, and effective communication to deliver actionable insights and guide business strategies, supporting key initiatives that will reshape the long-term care insurance landscape. As the Senior Data Analysis & Insights Manager, your responsibilities will include developing data strategies and recommendations, demonstrating thought leadership, managing complex projects, building relationships, leading and mentoring team members, and working collaboratively with cross-functional teams. The ideal candidate should have advanced analytical and business intelligence skills, along with several years of experience leading individuals and creating a cohesive, high-performing data analytics team. You will also be expected to learn and adapt to new data analytics technologies, tools, and methodologies as they evolve. A broad set of technical and business skills, combined with curiosity and a passion for data, are essential for this role.

Requirements

• Bachelor's degree in an analytical or technical discipline
• At least 2 years of direct leadership experience with proven ability to develop your team and execute strategy.
• Minimum of 5 years’ experience as a Business Intelligence analyst, data analyst, data modeler, or data scientist in a dynamic environment.
• Minimum of 5 years’ experience developing visualizations using Business Intelligence tools with Power BI highly preferred (i.e., Power BI, Tableau, Spotfire, etc) with proficiency in Semantic Models, data sources, and publishing to production.
• Minimum of 5 years’ experience with SQL, including authoring highly complex queries to extract and analyzing large data sets utilizing Rational Database Management System (RDBMS) technologies (i.e. SQL server, Greenplum, Oracle)
• Minimum of 3 years’ experience in scripting languages, such as Python or R.
• Advanced skills with Microsoft Excel, including developing pivot tables, linking to external data sources, and automating tasks with VBA.
• Intellectual Curiosity: Desire to find answers providing creative solutions to complex issues
• Critical Thinking: Apply analytical reasoning to leverage quantitative and qualitative data, supporting business strategy and effective execution.
• Results Orientation: Demonstrate a strong sense of urgency and accountability, consistently delivering high-quality work within deadlines.
• Self-Motivation: Manage multiple and changing priorities independently, maintaining a drive for results in a fast-paced environment.
• Communication: Deliver clear and effective customer-focused verbal and written communications to both technical and non-technical audiences.
• Teamwork & Collaboration: Build relationships and work collaboratively with cross-functional teams and contribute as a strong team player.
• Leadership: Ability to lead cross functional teams and influence outcomes at all levels up to executive.

Nice To Haves

• 5+ years of direct leadership experience and 8+ years of analyst experience
• Master’s degree in related field
• Cloud Computing experience, including migrating legacy data systems to Azure or AWS cloud platforms.
• Database/ETL experience developing and maintaining SQL Server databases and ETL pipelines, supporting seamless integration of diverse data sources
• Advanced analytical and modeling data experience utilizing Python and/or R
• Alteryx experience automating complex data preparation workflows, streamlining ETL processes and improving data accuracy for analytics and reporting.
• Experience with big data technologies (i.e. Databricks, Synapse, Snowflake, AWS/Azure, etc…)
• Experience with Artificial Intelligence (AI) and AI models
• Long Term Care Insurance product & claims process knowledge applied to in-depth understanding of LTC insurance products and claims workflows.

Responsibilities

• Partnering with leadership to execute a robust strategy that integrates data and Insights into all aspects of the organization.
• Creating and managing Business Intelligence and analytics solutions that transformed raw data into actionable knowledge, including the deployment of enterprise-wide dashboards and self-service analytics tools.
• Leading the migration of manual reporting and reconciliation processes into automated, scalable solutions, significantly reducing turnaround time and error rates for critical business reports.
• Developing use cases for data-related projects and collaborating closely with IT & Operational teams to implement end-to-end solutions, including the migration of legacy data sources and manual reporting processes to automated pipelines.
• Directly supporting strategic initiatives for new business intelligence use cases, such as automating control reporting and enabling advanced analytics.
• Collaborating with business partners to understand their problems and goals, gather business requirements, and developing analytical solutions to support their vision and strategy
• Working with cross-departmental teams to gather and clarify data analysis and reporting requirements, ensuring alignment on metrics, methodologies, and success criteria for strategic projects.
• Partnering with other team members within the organization to complete complex project work, with a focus on mentoring to develop the skills, capabilities, and passions necessary to successfully drive and sustain a data focused culture. This will include direct or indirect management of analysts with varying skillsets including but not limited to: Business Intelligence, Data Analysis, and Data Science
• Defining, developing, and providing insights, metrics, and analysis to drive the decision-making process and supporting business strategy for internal and external customers
• Facilitating a data-driven, statistical approach to problem solving, including gathering, analyzing, and reporting data
• Solving complex problems utilizing creative solutions and new perspectives
• Becoming an expert in assigned business processes, including upstream and downstream implications. Relates business process to financial performance measures and analysis.
• Leading and executing process and data improvement projects
• Conducting research and analysis to quantify business opportunities and issues; leads execution and implementation
• Influencing all levels of an organization to support projects and/or ideas
• Measuring and validating project results, and successfully implementing all facets of data modeling and data reporting

Benefits

• Competitive Compensation & Total Rewards Incentives
• Comprehensive Healthcare Coverage
• Multiple 401(k) Savings Plan Options
• Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
• Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
• Disability, Life, and Long-Term Care Insurance
• Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
• Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
• Caregiver and Mental Health Support Services

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level