Description:

We are seeking a highly organized and proactive Executive Assistant to provide comprehensive administrative and strategic support to our senior leadership team. This role requires a meticulous individual who can efficiently manage complex schedules, track and monitor key assignments, organize compelling presentations, and serve as a central point of contact for internal and external stakeholders. The ideal candidate will be a proactive problem-solver with exceptional communication skills, a high degree of discretion, and the ability to thrive in a fast-paced environment.

Responsibilities:

• Assignment and due date tracking:

o Develop and maintain a system for tracking executive assignments, key projects, and deadlines, ensuring timely completion of tasks and deliverables.

o Monitor progress on key initiatives, providing regular updates to executives on status and potential roadblocks.

o Compile data, track legislation, and assist leadership and teams with special projects as needed.

• Presentation organization and preparation:

Responsibilities include preparing and editing correspondence, reports, presentations, and other documents, collaborating to gather information and create visual aids, organizing meetings, preparing agendas, taking minutes, and following up on action items, and ensuring necessary materials are available before meetings.

• Communication and administrative support:

This role involves acting as the primary point of contact for the executive team, managing calls and emails professionally, facilitating communication between teams and external partners, maintaining accurate records, handling confidential information discreetly, and coordinating travel itineraries.

Required skills and qualifications:

Candidates should have experience as an Executive Assistant or in a similar administrative role supporting senior executives. Key skills include exceptional organizational and time management abilities, strong written and verbal communication skills, proficiency in Microsoft Office Suite and project management tools, the ability to handle confidential information with discretion, and being proactive and adaptable.

Rapidly growing national property and casualty insurance carrier group, seeks a Data Product Owner to 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.

A rapidly growing national insurance carrier group, seeks a Data/BI Engineer to support Program Management, Finance, Actuarial, Claims and Underwriting to meet the Data needs of the organization. This person will manage himself/herself as a leader in data engineering and business intelligence, setting examples for productivity, progressive thinking, efficiency, and professionalism. The ideal candidate is a sharp, creative, detail-oriented, analytical, and highly quantitative individual with passion for data integrity, data analysis, data availability and working with cross-functional teams.

DUTIES AND RESPONSIBILITIES

• Develop, expand, and evolve Data Lake and Data Warehouse instances and ELT pipelines in MS Fabric and SQL Server
• Maintain comprehensive documentation suite for data engineering implementations and provide training where necessary to support Team members and Stakeholders to self-serve their own usage of the data and BI reporting.
• Support data requests from Stakeholders and coordinate and/or complete validation of reports using SQL and/or visualization tools such as PowerBI
• Create and maintain Dashboards and Reports in PowerBI and SQL
• Work with Stakeholders, Data Analysts and 3rd party Data Engineers to identify and implement business rules/processes to maintain data integrity and governance
• Participate in program implementation meetings to support the program management life cycle
• Assist with regulatory and bureau reporting, including NISS and other vendors as needed quarterly

ESSENTIAL EDUCATIONS, SKILLS, AND KNOWLEDGE

• Bachelor’s degree in Software Engineering or similar discipline
• 8+years working in Data Engineering and Business Intelligence
• 8+years working in Insurance and familiar with a wide variety of the Insurance industry’s concepts, practices and procedures
• 3+ years working in Microsoft Fabric
• 3+ years working in Microsoft PowerBI
• 3+ years working in Microsoft Azure
• Strong proficiency in SQL, Python and R
• Strong analytical, written, and oral communication skills; ability to present concise reports to all levels of management
• Proficiency in Microsoft Office products (Word, PowerPoint, Excel)
• Ability to perform tasks within a fast-paced environment and limited supervision
• Exceptional interpersonal, organizational, business communication and time management skills
• Analytical approach to work; able to ask the right questions to ensure requirements, rationale and acceptance criteria are well understood
• Enthusiastic, hardworking, and driven individual with a focus on providing the best possible service
• Ability to prioritize and organize workload to meet tight deadlines, using analysis and data to support decision-making
• Experience of writing business requirements or acceptance criteria that can be picked up by developers, tested and implemented

Senior Analytics Engineer

Location: Remote
Employment Type: Full‑Time

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Role Summary

We are seeking a Senior Analytics Engineer to help evolve a business intelligence function from traditional reporting into a modern, proactive, AI‑augmented data platform. This role sits at the intersection of analytics engineering, data infrastructure, and intelligent automation.

You will design and maintain the data models, pipelines, and semantic layers that power both human decision‑making and automated systems. Your work will directly support advanced analytics, AI‑driven workflows, and emerging agent‑based use cases across the organization.

This role is ideal for a senior practitioner who enjoys hands‑on building, thoughtful system design, and influencing technical direction without stepping fully into people management.

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Key Responsibilities

Data Infrastructure & Pipelines

• Architect, build, and maintain reliable ELT pipelines using modern data tooling and cloud warehouses.
• Apply AI‑assisted development practices to reduce repetitive work while maintaining high standards for readability and correctness.
• Write efficient, well‑structured SQL and Python to transform, validate, and integrate data from multiple sources.

Data Modeling & Semantics

• Design and maintain analytical data models, including fact tables, dimensions, metrics layers, and reusable datasets.
• Build datasets that serve multiple consumers, including analysts, dashboards, and downstream programmatic or automated workflows.
• Maintain clarity around data ownership, definitions, and relationships.

AI‑Enabled Data Workflows

• Create data structures and pipelines that support AI and LLM‑powered use cases such as context retrieval, embeddings, structured outputs, and tool‑based agents.
• Partner with other technical teams to ensure data is usable, discoverable, and reliable for automated systems.

Reliability, Quality & Observability

• Monitor data freshness, completeness, and correctness across pipelines.
• Surface issues proactively and explore automated alerting or remediation patterns.
• Maintain clear documentation and lineage so both humans and systems can understand how data flows.

Collaboration & Leadership

• Support analytics and reporting tools by ensuring data is performant, documented, and trustworthy.
• Participate in code reviews and planning discussions; help shape longer‑term infrastructure decisions.
• Mentor junior and mid‑level contributors in SQL, data modeling, and effective use of AI development tools.

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Required Qualifications

• 7+ years of experience in analytics engineering, data engineering, or a closely related role.
• Strong command of SQL, including complex transformations, performance debugging, and model design.
• Proficiency in Python for data processing, automation, and API integrations.
• Hands-on experience with a cloud data warehouse (Snowflake preferred).
• Experience using dbt or a similar transformation framework.
• Familiarity with orchestration tools (e.g., Dagster or Airflow) or managed ELT services.
• Practical, day‑to‑day use of AI coding assistants as a productivity tool, paired with sound judgment.
• Strong communication skills and a habit of documenting decisions, definitions, and systems.
• Ability to operate as a senior IC—contributing direction, mentoring peers, and supporting planning efforts.

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Preferred Experience

• Exposure to LLM‑ or agent‑based systems, such as retrieval‑augmented generation or tool‑driven workflows.
• Experience with BI platforms (e.g., Sigma, Looker, Tableau, Power BI).
• Familiarity with vector search or semantic data infrastructure.
• Experience working in cloud environments (Azure preferred; AWS or GCP also relevant).
• Knowledge of data quality frameworks, testing, and observability tools.
• Comfort working in fast‑moving environments where iteration and learning are critical.