Technical Product Manager (Data Foundations)

• The Data Foundations product group comprises a suite of horizontal products / services that support both data producers and consumers in getting the most out of the platform, supporting both target segments with foundational capabilities expected out of an enterprise grade data & ML platform
• Platform products like distributed compute, compute marketplace, distributed storage, Identity and Access Management, Discovery & Lineage, Privacy make up the data foundations product group
• As a Technical Product Manager for the Lineage Sourcing product, you set the product vision, GTM strategy and drive adoption of enterprise wide lineage tooling, across OLTP and OLAP data and AI systems, and its integration with various other governance tooling like the enterprise policy platform, the enterprise knowledge graph and the enterprise wide data & AI product discovery UX
• The primary mission of this product is to enable managed sourcing of table and eventually column level lineage (where applicable) from the majority of multi-modal data production and consumption pathways across the enterprise - across data storage systems (OLTP/OLAP/HTAP) and across workloads running OLTP (Java, Python) and OLAP / HTAP workloads (Spark, dbt, python, SQL etc)
• The product would roll up into multiple products / tools enterprise wide - surfacing crucial lineage information to power data & AI product discovery experiences, visibility around movement / transformation of data as it moves through systems enterprise wide, and serve multiple personas from control functions to legal functions to application developers to data / reporting analysts to data engineers and ML/AI engineers / scientists and of course governance personas across the business, which fosters trusts in the data / AI product being used, enables targeted impact analysis before a change needs to be introduced and elevates the overall trust and governance posture of the data landscape enterprise wide
• The role would require balancing value elements for the both user segments - the data & AI practitioners of the business as well as the compliance / control / legal functions
• And requires a deep and wide understanding of enterprise data production and consumption patterns, in large scale distributed enterprise data systems
• The ideal candidate would bring in demonstrated experience in solving for similar problem spaces, at a similar of higher scale, and be passionate about identifying opportunities for their product(s), be deeply passionate about understanding specific needs for each segment of their target customer base, while solving for the compliance challenges around multi-modal data processing the enterprise and our users face today

Benefits

• Health insurance
• Free access to Headspace for you and your loved ones
• Global Employee Assistance Program
• Meditation and Breastfeeding rooms at the office
• Booking Cares - 2 days per year to volunteer and learn
• Life insurance
• Disability insurance
• Pension plan
• Annual paid time off
• Parental leave - 22 weeks
• Grandparent leave - 10 days
• Care leave - 10 days
• Bereavement leave - up to 4 weeks
• Anniversary leave
• Working from Home Furniture and Ergonomic Support
• Working from Abroad - up to 20 days per year
• Discounts & Wallet credits to spend on our products
• Upgrade to Booking.com Genius Level 3
• Friends & Family Booking.com discount vouchers
• Free access to online learning platforms
• Development and mentorship programs to support career growth
• Access to trainings and workshops
• Team development opportunities
• Local discount programs
• Game rooms in offices
• On-site meals, coffee and snacks including vegan options- Self-motivated and results-driven with a take charge attitude to manage the full development cycle of a product
• Friendly, knowledgeable, and motivational to others. Open to diversity in all shapes and sizes
• Open-minded team player with excellent communication skills
• User-focused individual who keeps the customer at the heart of everything they do, while having strong commercial awareness
• A go-getter who isn’t afraid to roll up sleeves and dives into a project to achieve success by problem solving
• Agile and innovative with the tenacity to thrive in a constantly changing environment
• Passionate about data & machine learning and building a platform that can be leveraged by the whole company. Constantly looking for ways to improve and streamline the capabilities
• Data-driven. Base your decisions on facts rather than opinions
• Strong teamwork and collaboration skills are essential
• Experienced with distributed data & AI Platforms, including wide and deep understanding of various distributed data processing and AI processing capabilities. Familiar with data processing in production, at scale. Understanding of batch and stream processing, as well as native cloud solutions powering such pathways
• Previous involvement with high traffic (50,000+ visitors per day) on the platform development side, preferably E-commerce is a plus
• Master of making data-driven decisions, managing backlog, setting and monitoring KPIs
• Demonstrated experience in delivering 0→1 products in an enterprise data & AI platform, at a significant scale
• Experience with web analytics software such as Google Analytics is a plus
• Experience with stakeholder management (finance, budgeting, team management, recruitment, external customers)
• Ability to identify core success metrics across various parts of data production and consumption funnels
• Ability to rapidly adapt to the evolving technology landscape, keep abreast of the rapidly evolving data and AI industry are paramount
• Strong understanding of asset discovery funnels across various journeys on distributed data & AI platforms, across a wide range of personas, and how classification feeds semantic context of various assets, to make such discovery journeys more relevant, context aware
• Solid understanding of various data, analytical and AI assets / products (from datasets > workflows / pipelines > metrics > reports > prompts > features > agents) and how their dependencies are intertwined in a distributed data & AI platform
• Experience running A/B tests (or exposure to A/B testing concepts) is a plus
• Demonstrated ability to navigate complex, matrixed product and engineering organizations, ability to navigate significant complexity, driving end user value in demanding environments
• Good knowledge of data science / analytics techniques
• 6+ years of experience in a Product Management, Engineering or Technology Strategy role
• Experience with public Cloud offerings (AWS and GCP) and building on top of cloud platform primitives- Recruiter Phone screen
• Business Interview 1
• Business Interview 2
• FIT Final Interview