Xplor is seeking a leader to define and execute a strategy that transforms data into a core enterprise asset and a driver of commercial value through advanced analytics and AI.
Requirements
- Expert-level knowledge of the modern data stack, with deep hands-on experience in Snowflake and modern data transformation frameworks (e.g., Spark, Coalesce, dbt).
- Extensive hands-on experience with cloud platforms (AWS and/or Azure).
- Proven success developing and executing enterprise-wide data strategies with a clear link to commercial outcomes, including data governance, data modeling, and data lifecycle management.
- Experience supporting and enabling teams that use a variety of BI and visualization tools (e.g., Power BI, Tableau, Looker, GoodData).
- 10+ years of experience in data engineering, data architecture, or data science, with a demonstrable history of increasing responsibility.
- Proven track record of architecting and leading enterprise-level AI/ML and Generative AI initiatives that deliver measurable business value.
- Experience in regulated industries (e.g., Childcare, Healthcare) is a plus.
Responsibilities
- Break down data silos by designing and implementing a unified data architecture.
- Standardize data ingestion from disparate sources (APIs, event streams, databases) and orchestrate robust data and ML pipelines to ensure the entire ecosystem is efficient and cost-effective.
- Drive the data product strategy from conception to launch.
- Deliver curated, business-ready data sets for self-service analytics, as well as developing and deploying production-grade predictive models and AI-driven applications.
- Lead the team in the execution of automated and scalable data integration, transformation, and modeling processes using modern data transformation frameworks (e.g., Spark, Coalesce, dbt).
- Implement tools and processes for data and model quality monitoring.
- Collaborating with executive leadership, product management, and engineering teams to translate business needs into technical requirements and data-driven strategies.
Other
- Develop and execute a comprehensive vision for Xplor's Data and AI strategy.
- Champion "data as a product," identify opportunities for data monetization, and drive initiatives that create measurable business value through advanced analytics, machine learning, and Generative AI.
- Lead, mentor, and grow a high-performing team of Data professionals.
- Foster a culture of accountability, innovation, and continuous improvement aligned with business objectives.
- Own the budget for the data and AI platform and team.
- Meticulously manage platform costs and demonstrate a clear return on investment (ROI) for all data and AI initiatives.
- Establish and enforce a pragmatic data governance framework that ensures high levels of data quality, security, privacy, and compliance.
- 5+ years of experience in a formal leadership role, with a proven ability to manage and mentor technical teams.
- Exceptional communication and presentation skills, with the ability to influence and align stakeholders from the C-suite to individual contributors.
- A strategic thinker with a creative approach to problem-solving and a demonstrated ability to drive change and lead strategic initiatives.
