[Hiring] Director, Data Product Execution @Assurant

Role Description

The Director, Data Product Execution, will play a pivotal role in building and guiding high-performing analytics engineering teams within our Data Analytics Product organization. This role will bridge the gap between data engineering, analytics, and product domains, enabling data-driven decision-making through scalable, reliable, and well-governed data products.

This Leader will collaborate with product managers, data scientists, and business stakeholders to define and deliver domain-aligned data solutions, ensuring that each product team has the technical guidance they need to deliver high quality solutions.

Duties and Responsibilities

• Strategic Leadership & Product Alignment
  • Guide the analytics engineering teams in alignment with the department’s Operating Model, embedding technical data capabilities within cross-functional product teams.
  • Partner with product and other data analytics leaders to define technical data product strategies, ensuring alignment with business goals and KPIs.
  • Champion data-as-a-product principles, ensuring reusability, quality, and discoverability across the enterprise.
• Technical Leadership
  • Consult on and oversee the design of modern data pipelines, semantic layers, and analytical data models supporting product and business analytics needs.
  • Drive data quality, lineage, observability, and governance practices across analytics product engineering workflows.
  • Enable the development of self-service analytics through well-structured, reliable datasets and documentation.
  • Guide engineering team members through the various prototyping methodologies for testing feasibility and usability.
  • Provide guidance and recommendations for automated testing solutions.
  • Provide recommendations on moving toward a continuous improvement/continuous delivery model within the analytics product organization.
• Team Development & Collaboration
  • Guide and mentor teams of data engineers & data scientists, fostering a culture of technical excellence, collaboration, and continuous improvement.
  • Partner with data scientists, analysts, and engineers to promote best practices in data modeling, version control, and CI/CD for analytics workflows.
  • Work closely with product managers to prioritize data initiatives that deliver measurable value.
• Operational Excellence
  • Own and improve data SLAs, performance metrics, and operational dashboards to ensure reliability and scalability.
  • Collaborate with governance and compliance teams to enforce data privacy, security, and ethical usage standards.
  • Continuously evaluate and implement emerging technologies and methodologies to enhance data productivity.
• Collaboration and Communication
  • Collaborate with cross-functional teams, including IT, marketing, sales, and customer service, to align data strategies and initiatives.
  • Communicate data governance policies and procedures to stakeholders and provide training on data management best practices.
  • Facilitate data-related discussions and workshops, fostering a culture of data stewardship and accountability.

Qualifications

• Bachelor’s in Data Engineering, Computer Science, Information Systems, or a related field. Master’s degree is desired.
• 8+ years of experience in data engineering, analytics engineering, or BI architecture.
• 3+ years in a leadership role.
• Proven experience working in or transitioning to a Product Operating Model, with deep understanding of domain-driven design and agile delivery.
• Proven experience in driving innovation & improving speed of delivery.
• Expertise with SQL, Python, Microsoft Fabric, Databricks, or similar cloud data platforms.
• Strong understanding of data modeling and modern data stack principles.
• Familiarity with BI tools (Power BI, Tableau, etc.) and how to design models to support them.
• Experience implementing CI/CD for data pipelines and data observability solutions.

Requirements

• Excellent communication and stakeholder management skills across technical and non-technical teams.
• Proven ability to translate business problems into data solutions and measure their impact.
• Strong strategic mindset and ability to balance innovation with delivery.

Benefits

• Pay Range: $121,700.00 - $200,600.00
• Any posted pay range considers a wide range of compensation factors, including candidate background, experience and work location, while also allowing for salary growth within the position.
• If there is no posting end date listed then this is a pipeline requisition, and we will continue to collect applications on an ongoing basis.