Databricks Senior Manager - US (New York)

The opportunity Join Kubrick as Product Manager: Play a critical role in shaping and executing high-impact data, platform, and AI initiatives, mentor teams, and partner with clients to deliver real impact in an inclusive, collaborative setting. About Kubrick Kubrick is an award-winning AI consultancy helping organizations turn AI ambition into measurable, real-world impact. We design, build and scale solutions that solve complex business challenges and deliver lasting value. We work with leading organizations across industries including financial services, healthcare, retail, energy, aviation, and the public sector, and partner with some of the world’s leading technology providers, including Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers alongside the solutions we deliver. Through continuous learning, hands‑on experience, and a collaborative culture, our people develop deep expertise while solving complex, real‑world challenges for our clients. Building an inclusive industry matters to us as much as building great data platforms. We're proud long‑standing partners of Women in Data, a not for profit dedicated to helping more women succeed in data and AI, recognized in 2026 with a shortlisting for their Brand Partner of the Year award. Our work in this space has also been recognized by SheCanCode and Women in Tech. What you'll be doing In this role, you will: Advise clients on data product strategy, shaping their roadmap and implementation plan for data products, and oversee a team in the delivery of that plan. Establish and uphold governance frameworks that ensure transparency, traceability, and accountability across the product lifecycle embedding Agile best practices while aligning with regulatory and compliance standards. Identify and mitigate delivery and product risks, proactively resolving issues and managing dependencies across technical and business domains. Drive consistency of delivery, ensuring that Agile and, where appropriate, Waterfall methodologies are applied effectively to meet business requirements. Collaborate with cross‑functional teams to define and prioritise backlogs, balancing commercial value, user outcomes, technical feasibility, and delivery risk. Define product roadmap and success metrics in collaboration with cross‑functional teams and clients, ensuring shared understanding and alignment. Manage and refine the Product Backlog where required, shaping epics and user stories in alignment with the product roadmap. Develop and oversee resource and delivery plans, integrating testing, release management, and delivery assurance into product roadmaps. Provide reporting on delivery progress, risks, dependencies, and value realisation to senior stakeholders and clients. Stay informed on emerging trends in product management, data, and AI delivery, applying new insights to strengthen frameworks, delivery practices, and product innovation. What we're looking for We're looking for curious, collaborative people who enjoy solving complex challenges, sharing knowledge and continuing to grow in a fast‑evolving space. You'll bring: Demonstrable experience as a Product Manager with a strong understanding of data product strategy, able to advise clients on their roadmap and implementation plan for data products, and to oversee a team in the delivery of that plan. Six or more years’ experience driving the definition, delivery, and optimisation of data and AI products, demonstrating end‑to‑end ownership from discovery through to deployment and value realisation. Demonstrable experience leading Agile delivery at scale, translating product strategy into clear delivery plans, prioritised backlogs, and measurable outcomes. Strong knowledge of delivery governance, risk management, and compliance across different methodologies. Comprehensive understanding of the software development lifecycle (SDLC) and its application in waterfall and agile delivery. Proficiency in using delivery platforms e.g. Azure DevOps, Jira etc. Familiarity with diverse delivery methodologies, including Waterfall, Agile and Hybrid approaches. Planning and executing delivery using Agile methodologies (Scrum, KanBan, SAFe). Understanding of value realisation frameworks and the ability to build product business cases demonstrating ROI, efficiency gains, or customer experience improvements. Strong client‑facing skills, with the ability to build trust and communicate delivery with any risks or dependencies effectively. We don't expect you to tick every box. If you're excited about the role and meet a good proportion of the criteria, we'd still love to hear from you. Benefits Enhanced maternity, adoption and paternity leave, plus a return to work bonus Additional caregiver leave 15 PTO days plus 11 public holidays (26 days total) Flexible working options, including flexible start and finish times and part‑time arrangements Hybrid working, typically 2 to 3 days per week in our New York office, alongside client meetings and remote working 401(k) retirement program with company match up to 3% Healthcare insurance (80% premium employer paid) Dental and vision insurance Long term disability insurance (100% employer paid) Financial wellbeing support Mental health, diversity and inclusion support, plus confidential support through our Employee Assistance Program (EAP) Learning and development opportunities, including professional certifications Internal mobility and career development opportunities Additional voluntary benefits Additional benefits Leadership opportunities on high‑impact data projects Continuous learning and Kubrick‑funded certifications Collaboration with a top‑tier Databricks developer community You'll take ownership of meaningful work from early on, contributing to projects that deliver real impact for clients. You'll be part of a collaborative, high‑performing environment where you're encouraged to think differently, influence outcomes, and continue developing your expertise. Diversity & inclusion At Kubrick, we not only strive to bridge the skills‑gap in data and technology, but we are also committed to playing a key role in improving diversity in the industry. To that effect, we welcome candidates from all backgrounds and particularly encourage applications from groups currently underrepresented in the industry, including women, those from ethnic minority backgrounds, members of the LGBTQ+ community, disabled people and those who are neurodivergent. We know that potential applicants are sometimes put off if they don't meet 100% of the requirements. We think individual experience, skills and passion make all the difference, so if you meet a good proportion of the criteria, we'd love to hear from you. We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process. #J-18808-Ljbffr Kubrick