Principal Product Manager
Overview
The Feeds & Verticals organization builds tools to connect people to content that matters. We aim to make Microsoft consumer products the content powerhouse for every person on the planet by delivering personalized experiences. We are looking for a highly motivated and experienced Principal Product Manager to join our Growth and Analytics team.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Qualifications
Required Qualifications:
- Bachelor's Degree AND 8+ years experience in product/service/project/program management or software development
- OR equivalent experience.
- 5+ years of experience using data, analytics, and metrics.
Preferred Qualifications:
- Proficient written and verbal communication/presentation skills through all levels of organization, technical and non-technical.
- Experience working with large, distributed data sets to derive actionable insight.
- Previous web analytics, product analytics and or content analytics experience.
- Demonstrated stakeholder management ability including effective prioritization, clear and concise. communication, and delivery of actionable data-driven insights.
- Knowledge of Ads ecosystem, content and online shopping metrics.
Product Management IC5 - The typical base pay range for this role across Canada is CAD $135,800 - CAD $253,000 per year.
Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html
Microsoft will accept applications for the role until October 22, 2024.
Responsibilities
Data & Analytics:
- Collaborating with stakeholders to identify and align on business-critical metrics, their definitions, sources, and interpretations.
- Gathering, processing, and interpreting data from various sources while ensuring data quality and integrity.
- Analyzing large datasets to identify patterns, trends, and content performance to provide ongoing reports on the relevance and quality of our products.
- Utilizing experimentation results to iterate and fine-tune models, ensuring continuous improvement and impact on key business metrics.
Collaboration & Communication:
- Working closely with product managers, engineers, and other stakeholders to understand business requirements and translate them into actionable data science initiatives.
- Effectively communicating findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making.
- Sharing and discussing findings with senior leadership to shape product strategy and investments.
Other: