You will partner across business, Data Engineering, Governance, Applied AI, AI Platform Engineering, Enterprise Architecture, Information Security, Application Development, Digital Services, Infrastructure, and business operations teams to improve trust, adoption, and reuse of enterprise analytics capabilities. Metric layer, semantic layer, knowledge layer, metadata, and lineage capabilities are shared responsibilities with Data Engineering and Governance, with BI Engineering & Enablement leading enablement, adoption, BI consumption patterns, metric/semantic usage practices, and AI-consumable context. You will also coordinates BI and analytics platform partners such as Tableau and GCP.
Position Compensation Range:
$150,000.00 - $255,000.00Pay Rate Type:
SalaryCompensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.
Primary Accountabilities
- Lead shared metrics enablement and adoption
- You will lead enterprise practices for promoting adoption and consistent use of shared metrics in partnership with Data Engineering, Governance, and business owners.
- You will establish metric-layer usage expectations for grain, definitions, dimensions, ownership, reuse, and change management in partnership with the teams that own upstream data engineering and governance practices.
- Enable AI-consumable BI and semantic foundations
- You will build and govern BI foundations that can be consumed by both humans and AI systems, including metric definitions, semantic context, metadata, lineage, classification, and knowledge catalog capabilities in partnership with Data Engineering and Governance.
- You will ensure agents and AI-enabled workflows can retrieve trusted business context from governed sources.
- Lead BI tool administration and best practices
- You will oversee BI and analytical tool administration, standards, enablement, and adoption practices.
- You will support tool consolidation and rationalization.
- Promote consistent and effective use of BI capabilities across business and technology teams.
- Enable semantic and knowledge-layer usage
- You will lead enablement and usage practices for semantic, metric, and knowledge-layer foundations that connect data assets to business meaning.
- Partner with Data Engineering and Governance on stewardship, upstream ownership, lineage, metadata, and governance practices.
- You will enable consistent business logic for dashboards, self-service analytics, embedded analytics, copilots, and AI-enabled workflows.
- Govern data layer usage for BI and analytics
- Establish governance practices for how curated data layers, metric layers, semantic layers, knowledge layers, and BI assets are used.
- You will reduce metric drift, definitional inconsistency, duplicative reporting logic, and fragmented analytics experiences.
- Advance AI-ready analytics foundations
- Structure BI, metrics, semantic context, metadata, lineage, knowledge assets, and business definitions so they can support both human decision-making and AI-powered tooling.
- You will partner with Applied AI and AI Platform Engineering to ensure AI systems use trusted definitions and explainable business context.
- Assess business and Technology readiness
- Help assess readiness for AI-enabled analytics and decision intelligence, including data availability, data quality, data classification, metadata completeness, lineage visibility, process context, and business definition maturity.
- Identify gaps that could limit trusted BI, self-service analytics, or AI-enabled workflows.
- Manage BI and analytics platform partnerships
- You will coordinate BI and analytics platform partner relationships relevant to the role, including Tableau and GCP.
- Ensure partner capabilities are aligned to enterprise BI, metric, semantic, governance, and AI-ready analytics expectations.
- Drive business enablement and adoption
- Drive adoption of shared metrics, BI best practices, and trusted analytics patterns.
- Help business partners understand and use governed metrics and BI capabilities effectively.
- Lead people and develop talent
- Lead teams responsible for BI enablement, BI engineering, metric-layer enablement, tool consolidation, and related delivery functions.
- Build a culture of customer focus, engineering discipline, data trust, and practical enablement.
Specialized Knowledge & Skills Requirements
- Demonstrated experience leading BI, analytics engineering, data enablement, semantic-layer, metrics-layer, metadata/lineage, or data product enablement teams.
- Experience with BI platforms, governed metrics, semantic modeling, metadata, lineage, data governance, and analytics adoption.
- Demonstrated ability to connect technical data models to business meaning and decision-making.
- Experience reducing metric inconsistency and improving trust in enterprise reporting and analytics.
- Familiarity with how semantic layers, metrics layers, knowledge catalogs, metadata, lineage, and governed business definitions support AI, copilots, and agentic workflows.
- Experience working across IT and business domains, including Data Engineering, Enterprise Architecture, Information Security, Governance, Application Development, Digital Services, Infrastructure, Product, and business operations.
- Experience coordinating BI and analytics platform partners such as Tableau and GCP.
- Demonstrated ability to drive adoption, enablement, standards, and usage practices across distributed analytics and business teams.
- Strong business partnership and communication skills with both technical and non-technical audiences.
- Demonstrated effective people leadership, prioritization, coaching, and talent development skills.
Key Interfaces and Partners
- Business leaders and analytics consumers across the enterprise.
- Applied AI for metrics, features, context, evaluation criteria, and decision intelligence needed in AI solutions.
- AI Platform Engineering for semantic/knowledge-layer integration into AI workflows and platform services.
- Data Engineering for data products, curated data layers, warehouse/lakehouse dependencies, metadata, lineage, and upstream data quality.
- Governance and Data Governance partners for metric, semantic, metadata, lineage, and knowledge-layer stewardship practices.
- Information Security, Enterprise Architecture, Privacy, Security, Risk, Compliance, Infrastructure, Application Development, Digital Services, and platform teams.
- Tool owners, analysts, report developers, business intelligence communities of practice, product teams, and business operations teams.
- Tableau and GCP partners for BI tooling, platform capabilities, analytics enablement, and AI-ready BI foundations.
- To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability.
- Offer to selected candidate will be made contingent on the results of applicable background checks
- Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
- Sponsorship will not be considered for this position unless specified in the posting
In this primarily office-based role, you will be expected to spend at least 80% of your time (4+ days per week) working from the office. Candidates should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783 or Boston, MA 02110.
#LI-Onsite
We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email [email protected] to request a reasonable accommodation.
#LI-AW1Skills Required
- Proven leadership of BI, analytics engineering, or data enablement teams (semantic/metrics/metadata/lineage focus)
- Experience with BI platforms, governed metrics, semantic modeling, metadata and lineage, and analytics adoption
- Ability to connect technical data models to business meaning and decision-making
- Experience reducing metric inconsistency and improving trust in enterprise reporting
- Familiarity with semantic layers, metric layers, knowledge catalogs, and AI/copilot integrations
- Experience coordinating BI and analytics platform partners such as Tableau and Google Cloud Platform (GCP)
- Experience working across IT and business domains (Data Engineering, Enterprise Architecture, InfoSec, Application Dev, Infrastructure, Governance)
- Demonstrated people leadership, prioritization, coaching, and talent development skills
- Strong business partnership and communication skills with technical and non-technical audiences
- Willingness and ability to work primarily in office (≥80% onsite) and reside within ~35-50 miles of Madison, WI or Boston, MA
American Family Insurance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Family Insurance and has not been reviewed or approved by American Family Insurance.
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Pay Growth & Progression — Compensation has seen multiple increases, including a higher internal minimum hourly wage effective 2025 for many customer‑facing and claims roles. These moves indicate continued investment to raise the pay floor and improve total rewards competitiveness.
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Retirement Support — The total package includes a 401(k) with company match alongside a company‑funded cash‑balance pension, strengthening long‑term financial security. This combination is positioned as a standout element within the overall benefits mix.
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Parental & Family Support — Paid parental leave was expanded in 2025 for birthing parents and for all parents, including adoptive and foster. Caregiver leave adds further family support within the leave portfolio.
American Family Insurance Insights
What We Do
For more than 85 years, American Family Insurance has built its reputation on sound principles. We strive to provide you industry-leading service, exceptional claims experience and products that build long-term relationships. This is accomplished by treating policyholders fairly in a helpful and caring way and making it easy and convenient to work with us. We know our customers like family. American Family Insurance thrives by conducting its business in accordance with the highest ethical standards and the law at all times. Integrity is part of our culture and always has been. The reputation we enjoy and trust-based relationships we have built with our customers are determined by the example set by management and the character and good judgment exercised at all levels of our organization. It’s a way of doing business that our customers have come to expect from us and a standard that we continue to live up to.
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