Senior Data Project Manager

We are looking for a Senior Data Project Manager to join inDrive's Data Platform. You will work in close partnership with the Engineering Managers of two core teams, Data Ops and Data Delivery, and coordinate projects that span multiple data platform teams: for example, onboarding data from external partners and orchestrating its downstream transformation into analytics-ready data marts. Coordinate cross-functional Data Platform (DWH) initiatives end-to-end, from source-system integration through the warehouse to analytical data marts Act as the single point of accountability for initiative outcomes, ensuring value delivery within expected timeframes Drive projects that cut across several teams, e.g. partner data ingestion followed by transformation and modeling, aligning scope, sequencing, and ownership between Data Ops, Data Delivery, and adjacent teams Work in tandem with the Engineering Managers of Data Ops and Data Delivery on planning, capacity, and execution; participate in the operational management of the teams Own project and initiative schedules: identify risks, dependencies, and potential slippage early, and communicate them promptly to all stakeholders Manage priorities across product-driven requests from internal data consumers and long-term platform investments (reliability, data quality, governance, security) Build a process for continuous improvement of team metrics: delivery performance, quality, engagement, and team maturity Facilitate project- and program-level events (planning, syncs, retros, stakeholder reviews) Translate between business and technical teams, keeping internal consumers, engineering, and leadership aligned 3+ years of project or program management experience in Data Platform, Data Warehousing (DWH), or Analytics environments Demonstrated success managing complex initiatives with multiple stakeholders, teams, and moving parts Solid command of modern goal-setting and project management tools Exceptional communication and stakeholder alignment skills: able to translate between business and technical audiences Highly organized, with strong prioritization, risk management, and accountability-driving skills Strong systems thinker; brings clarity and structure to ambiguity Nice to have Hands-on experience in Data Platform / Data Warehouse ecosystems: understanding of data pipelines, ODS-to-data-mart layering, streaming and batch delivery, data governance Experience in high-growth consumer tech Familiarity with modern data stack tooling (dbt, Airflow, Kafka, BigQuery or similar cloud DWH)