
Data Strategist
2 weeks ago
This role is about driving innovation, operational efficiency and AI readiness through a combination of technical expertise in modern data engineering and a strong foundation in data science.
- Technical Expertise:
- Expertise in modern data engineering with a focus on building scalable, cloud-native data platforms using technologies like Apache Spark, Kafka, Delta Lake and Snowflake.
- Strong foundation in data science to drive innovation and operational efficiency.
- Strategic Leadership:
- Develop and execute a strategic plan for data engineering and analytics aligned with enterprise goals.
- Lead the development of reusable data pipelines, feature stores and model training workflows.
- Talent Development & Enablement:
- Build and scale a high-performing team of data engineers, data scientists and ML engineers.
- Design internal training programs and career pathways to upskill talent in data engineering, ML modeling and analytics.
- Advanced Analytics & Data Science:
- Enable rapid experimentation and deployment of predictive models, optimization algorithms and statistical analyses.
- Collaborate between data scientists and engineers to operationalize models at scale.
- Governance & Quality:
- Establish enterprise-wide data governance, lineage and quality frameworks.
- Ensure compliance with data privacy regulations and ethical AI standards.
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