About Pearson

As the world’s largest (listed on both London and NY stock exchange) learning company, Pearson has been contributing a profound impact on our world since its formation in 1844. Pearson employs more than 20,000, operates in 70 countries and delivers products and services in nearly 200 countries. We work toward a common purpose - helping people realize the life they imagine through learning. We do that by developing and providing high-quality, digital content and learning experiences, as well as assessments and qualifications, that help people build their skills and grow with the world around them.  Unveil the boundless possibilities that await you.   Learn more at pearsonplc.com.  

About Enterprise Learning & Skills

Pearson’s newly established Enterprise, Learning & Skills division is mandated to help enterprises drive productivity and growth by transforming how they evaluate, assess, and reskill their workforce, as well as delivering world-class vocational training and qualifications. The global talent market has never been more important than it is today, and Workforce Solutions, a key hub within the new ELS division, is well positioned to meet the needs of employers and employees who want to build a leading edge in the age of AI and a rapidly changing economy. Our offerings help employers understand labor market dynamics, how future proof their workforces at scale, and helping workers gain the skills they need to boost their employability and create new career prospects.  

About the Role

The Senior Product Manager for our Data Science Assets will lead the delivery of our core data science and exploratory tools, ensuring that our unique IP and insights are approachable and actionable for our clients, enabling them to drive meaningful change and unlock new opportunities for their businesses.

To do this, you’ll work across our Data Science & AI, Product and Engineering squads to ensure our teams are prioritizing and delivering innovative solutions to real-world customer problems. You’ll be responsible for the delivery of our Data Science roadmap into production, identifying and mitigating risks, post-launch monitoring, and ensuring that our teams are releasing quality data.

While most of the team is based in Sydney, this role can be a remote AU position with the availability to flex across multiple time zones, as stakeholders’ locations range from Australia, US, and the UK. As an organization with a global customer and employee footprint, some domestic and international travel may be required.

Key Responsibilities: 

• Develop and execute product strategies that align with the Workforce Solution business unit’s vision and the broader ELS business objectives
• Define our Data science product roadmap and technical requirements and help our data science team prioritize features based on customer feedback, market demand, and business goals.
• Collaborate closely with Data Scientists and Engineers to define requirements, prioritize features, data pipeline improvements, testing, and deploying assets into production
• Communicate with stakeholders, including business leaders, sales marketing, clients and our broader product development teams to present our data assets and provide updates on product development 
• Garner an understanding of compliance, legal, internationalization, accessibility, and other ongoing needs to ensure design and data science make the right CX trade-offs when needed.
• Strengthen our product team by contributing to a culture of collaboration, innovation, and high performance.

About You

Key Experiences & Skills:

• Product Experience: 6+ years of experience as a product manager, with at least 3 years as either a Technical PM or responsibility for delivering Data Science products, defining product roadmaps, prioritizing features, and working with cross-functional teams.
• Data Science Literacy: a good understanding of data science and analytics. You’ll be expected to be involved in deep conversations about different statistical methods, machine learning algorithms, data visualization and data infrastructure.
• Business Acumen: ability to understand business goals and translate them into data science deliverables that can drive significant commercial returns. You will be able to communicate effectively with stakeholders and have a good understanding of market trends.
• B2B Product Expertise: Experience in B2B products (with previous experience in HR Tech a significant plus).
• International Experience: experience within a global organization, with an understanding of cultural nuances. 
• Analytical Nature: Ability to use data to make key decisions on tradeoffs on product initiatives. Skilled in analyzing and reporting on metrics and KPIs. 
• Delivers Results: Able to deliver technical product requirements and project plan, and then execute it, tempering enthusiasm for innovation with tactical prioritization of must-have features that customers require to have a frictionless experience.
• Collaborating and Influencing: Negotiate with a genuine give-and-take approach, involving all stakeholders to shape a collective consensus. Build relationships that help achieve team objectives and lead cross-functional teams.