Director, Data Product Execution
Assurant
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.
What will be my duties and responsibilities in this job?
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. This can also include collaborating with Data Stewards in other departments.
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.
What are the requirements needed for this position?
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.
Leadership & Soft Skills
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.
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Pay Range:
$121,700.00 - $200,600.00Any 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.
Helping People Thrive in a Connected World
Connect with us. Bring us your best work and your brightest ideas. And we’ll bring you a place where you can thrive. Learn more at jobs.assurant.com.
For U.S. benefit information, visit myassurantbenefits.com. For benefit information outside the U.S., please speak with your recruiter.
What’s the culture like at Assurant?
Our unique culture is a big reason why talented people choose Assurant. Named a Best/Great Place to Work in 15 countries and awarded the Fortune America’s Most Innovative Companies recognition, we bring together top talent around the world. Although we have a wide variety of skills and experiences, we share common characteristics that are uniquely Assurant. A passion for service. An ability to innovate in practical ways. And a willingness to take chances. We call our culture The Assurant Way.
Company Overview
Assurant is a leading global business services company that supports, protects, and connects major consumer purchases. A Fortune 500 company with a presence in 21 countries, Assurant supports the advancement of the connected world by partnering with the world’s leading brands to develop innovative solutions and deliver an enhanced customer experience through mobile device solutions, extended service contracts, vehicle protection services, renters insurance, lender-placed insurance products, and other specialty products.
Equal Opportunity Statement
Assurant is an Equal Employment Opportunity employer and does not use or consider race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local law in employment decisions.
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