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Data Product Manager
2 months ago
We are seeking a seasoned Product Manager to lead our Data Platforms team, driving the development of cloud-native data and machine learning capabilities. As a key member of our Platforms Product team, you will be responsible for defining and delivering the overall strategy for our Data Platforms, ensuring alignment with our platforms strategy and delivering value for our users with in-market usable solutions.
Key Responsibilities- Develop and drive the overall strategy for our Data Platforms, ensuring alignment with platforms strategy and delivering value for our users with in-market usable solutions.
- Oversee the lifecycle of data platform products, including data movement technologies (batch and real-time), data lakes, data production and consumption patterns, quality management, enabling users to self-service these capabilities on our Google Cloud environment.
- Own the strategy and product development for Business Intelligence (BI) tooling and analytics, ensuring robust and scalable solutions for data analysis and visualization.
- Work closely with cross-functional teams, including Engineering, Data Science, Analytics, and other key stakeholders to ensure our data platforms meet their needs and drive business value.
- Define and track key performance indicators (KPIs) to measure the success of data platform products and drive continuous improvement.
- 5+ years of experience in product management, with at least 3 years in a leadership role overseeing data platforms or similar technologies.
- ~5+ years of product experience in developing data-driven products that are cloud native.
- ~Strong understanding of data movement technologies (batch and real-time), Data Lakes, analytical data systems, and ML development and analytics tools, such as for data exploration and BI dashboards.
- ~Strong written and verbal communication and a demonstrated ability to explain technical concepts to non-technical audiences.
- ~Proven experience in leading and collaborating with senior stakeholders along with a multi-quarter roadmap with iterative value delivery.
- ~Demonstrable ability to be technically hands-on, up to architecting high-level system plans (no coding).
- ~Understanding of big data technologies, data lakes, streaming / real-time data solutions.
- ~Understanding of Data & ML Infrastructure tooling/solutions and scaling on public cloud platforms (AWS, GCP, Azure).
Wayfair is one of the world's largest online destinations for the home. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success.
We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
