Head of Product Data

Job Title: Head of Product Data

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Location:

[Location] (Opportunities for remote/hybrid/flexible work available)

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Reports to:

[Suggested Hiring Manager Job Title]​

 

Role Purpose

We are looking for an experienced and strategic Head of Product Data to join our forward-thinking team at [Company Name] in [Location], with flexible and remote options available. In this key role, you will oversee product data strategies, transforming complex datasets into actionable insights that will inform our product development, optimize performance, and drive business growth. Your expertise in data analytics and product strategy will guide data-driven decision-making across the organization, empowering us to exceed customer expectations and strengthen our market position.

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Company Overview

[Company Name] is a dynamic and forward-thinking company in the [Industry] sector, dedicated to delivering exceptional products and services to our clients. With a culture that values innovation, collaboration, and integrity, we pride ourselves on creating an inclusive work environment where our team members are encouraged to learn, grow, and leverage the latest technology. Recognized as a leader in our field, we invest in our employees' professional development and offer opportunities for career advancement.

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Key Responsibilities

 

• Develop and execute a comprehensive product data strategy that aligns with overall business goals, ensuring the use of data maximizes product value and fosters innovation.

• Lead, mentor, and develop a team of data professionals, including data analysts, data scientists, and data engineers, to build a high-performing data organization that meets evolving business needs.

• Work closely with product managers, engineering, marketing, and other stakeholders to embed data insights into product lifecycle decisions, from ideation and development to launch and improvement phases.

• Establish robust data quality and governance frameworks to ensure accuracy, reliability, and compliance with relevant regulations (e.g., GDPR, CCPA), creating a trusted data environment across all product lines.

• Analyze key product metrics to monitor and optimize product performance, identify trends, and derive insights that drive product enhancements and innovations.

• Identify and capitalize on opportunities to leverage data for product improvements, revenue growth, and user engagement.

• Synthesize complex data findings into clear, actionable recommendations and present these insights to executive leadership to inform strategic direction.

• Stay current on industry trends, new technologies, and best practices in data analytics and product data management, continuously enhancing the organization’s capabilities.

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Required Skills and Qualifications

• Extensive experience in data analysis, data management, and product strategy within fast-paced, data-intensive environments, preferably within [Industry].

• Proven experience in leading, coaching, and scaling high-performing data teams. Ability to motivate, manage, and develop talent to achieve business objectives.

• Strong skills in data analytics tools and programming languages, such as SQL, Python, R, and experience with data platforms (e.g., AWS, Google Cloud, or Azure).

• Deep understanding of data governance principles, data privacy regulations (GDPR, CCPA), and industry best practices.

• Highly analytical with the ability to leverage data for strategic decisions, demonstrating strong problem-solving capabilities and a business-oriented mindset.

• Excellent written and verbal communication skills, with the ability to translate complex data insights into straightforward, actionable strategies for non-technical stakeholders.

• Proficiency in data visualization tools (e.g., Tableau, Power BI) to create engaging and insightful dashboards and reports for various audiences.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. Advanced degrees are a plus.

• Experience in [relevant industry] or a closely related field is highly desirable.

• Experience in product data analytics and performance metrics, with an understanding of customer engagement and retention strategies.

• A demonstrated history of identifying and implementing innovative data solutions that drive product growth and enhance customer experience.

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Perks and Benefits:

Clearly outline the benefits and perks of the role.​

 

How to Apply:

End with a strong call to action encouraging candidates to apply. Include a direct link to the application page and provide contact information for further queries.

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• Salary Information: Provide a clear salary range to maintain transparency and meet legal requirements.

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