​​Understand customer needs: Engage customers and partners, analyze product usage and market signals, and translate insights into clearly defined problems and prioritized opportunities. Own product direction: Define the strategy and roadmap for your product area, connecting investments to customer needs, the broader Azure Data Integration strategy, and measurable business outcomes. Drive end-to-end delivery: Develop product requirements, success criteria, and release plans. Partner with Engineering and Design to deliver capabilities from discovery and validation through launch and iteration. Apply technical and product judgment: Make informed tradeoffs across customer value, usability, reliability, performance, cost, and delivery timelines. Incorporate accessibility, security, privacy, and compliance requirements throughout development. Lead across functions: Build alignment with engineering teams and cross-functional partners, manage dependencies, and communicate priorities, decisions, and risks clearly. Drive adoption and measurable impact: Partner with Marketing, Sales, Support, and customer-facing teams on launch readiness, documentation, and customer adoption. Define and monitor metrics to identify opportunities and improve product performance. Explore AI-enabled improvements: Identify and validate opportunities to simplify data integration through AI-assisted experiences, applying responsible AI practices where relevant. Embody our culture and values. ​​Bachelor's Degree AND 5+ years of experience in product/service/project/program management or software development, OR equivalent experience. Experience owning a software product or significant feature area from problem definition and prioritization through delivery and post-launch improvement. Experience using customer research, product telemetry, and quantitative analysis to inform product decisions and assess outcomes. Demonstrated ability to partner with engineering and design teams, evaluate technical tradeoffs, and translate complex customer needs into actionable product requirements. Experience aligning cross-functional stakeholders and driving decisions without direct authority, supported by clear written and verbal communication.​ Experience with cloud data platforms, data integration, or data engineering, including concepts such as ETL/ELT, data pipelines, connectors, APIs, and orchestration. Experience building enterprise or developer-facing products that balance ease of use with reliability, scalability, security, and operational requirements. A track record of improving customer adoption, engagement, or product quality through measurable, iterative improvements. Experience evaluating or delivering AI-assisted product experiences, with an understanding of quality evaluation, customer trust, and responsible AI considerations.​