Ford Credit Europe is at a pivotal moment in its transformation, aiming to enhance the customer experience in the digital age. As part of the Product Operations team, which consists of over 70 members, you will be the first Product Analytics specialist, laying the foundation for data-driven decision making and developing your product operations skills.
Minimum requirements:
* 5+ years of experience in product analytics, data analysis, or related fields, with at least 2 years in a product environment.
* Experience defining metrics, creating dashboards, and conducting data analysis that influence product decisions.
* Proficiency in implementing and managing product analytics tools for internal teams.
* Proven ability to improve processes and influence stakeholders towards evidence-based decisions.
* Experience managing operational activities to ensure efficiency and consistency.
Additional information:
The company values diversity and equality, and is committed to providing equal opportunities to all applicants. The role is based in Dunton, requiring attendance at the office typically 4 days a week, with flexibility based on business needs.
Successful candidates will undergo a criminal record check in accordance with the Rehabilitation of Offenders Act 1974, focusing only on unspent convictions.
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Responsibilities:
As a Senior Product Operations Manager, you will lead the transformation from intuition-driven decision-making to a data-informed culture, owning and optimizing product analytics capabilities, and championing new technologies.
Your work will involve identifying key metrics, redesigning processes, and enhancing knowledge sharing, with a focus on analytics and insights (approximately 80% of your time initially). The role is dynamic, requiring adaptability and a holistic view of product operations.
Insights:
* Develop and execute strategies for data-informed decision-making across the organization.
* Establish standards for tracking and reporting product performance and user insights.
* Conduct analysis to support strategic priorities and provide actionable recommendations.
* Monitor and report on key metrics across products.
Technology enablement:
* Manage the product analytics tech stack and roadmap, primarily Adobe Analytics, with potential for additional tools.
* Empower teams to utilize existing tools effectively.
* Evaluate and implement new analytics technologies to boost productivity.
* Design training programs for tool adoption and effective use.
People development:
* Promote continuous learning and professional growth within the team.
* Increase analytics literacy organization-wide, from basic metrics to advanced analysis techniques.
* Build relationships across departments, including Engineering, Design, and global analytics teams.
Ways of working:
* Streamline and automate processes to enhance team performance.
* Contribute to product development lifecycle improvements.
* Address operational challenges proactively.
* Implement reporting mechanisms for tracking progress and performance.
* Enhance the product organization’s knowledge base with engaging content on analytics and metrics.
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