Lead data and business intelligence initiatives by translating business needs into scalable data solutions, standardized KPIs, reporting logic, and analytical use cases. Partner with stakeholders, engineers, architects, and BI teams across data integration, transformation, modeling, governance, and reporting. Validate data, investigate discrepancies, improve data quality, and provide technical leadership for cross-functional data initiatives.
This is a remote position.
Lead. Location: Fully remote - Canada or USA. Term: November 16, 2026 to March 31, 2027, extension 1 year or more.
Red Pico is hiring a hands-on Data & BI Platform Lead for our client, the NFL. You will provide technical leadership across Data & Analytics and Business Intelligence initiatives, bridging business and technology: translating business needs into scalable data solutions, well-defined business metrics and actionable insights. You will work closely with business stakeholders, engineers, architects and BI teams to define KPIs and reporting logic and keep data solutions accurate, reliable and aligned with business objectives.
Responsibilities:- Act as a trusted data advisor to business stakeholders, understanding their objectives, challenges and data needs
- Translate business requirements into technical specifications, scalable data solutions and analytical use cases
- Partner with business teams to define, validate and standardize KPIs, business metrics and reporting logic
- Provide technical leadership across Data & Analytics and BI initiatives, collaborating with engineers, architects and BI teams
- Support end-to-end data solutions spanning source systems, integration, transformation, modelling and reporting- Analyze and validate data, investigate discrepancies, and help ensure the accuracy, consistency and reliability of business insights
- Drive data quality, governance and continuous improvement across data products and BI solutions
- Lead cross-functional data initiatives and align technical solutions with business objectives
Qualifications:
- Strong technical background in data architecture, data modelling, data warehousing, ETL/ELT and BI solutions
- Hands-on experience with cloud data platforms such as Azure, AWS, GCP, Snowflake or Databricks- Strong SQL skills for data analysis, validation and troubleshooting
- Experience translating business needs into technical requirements, analytical use cases, KPIs and meaningful business metrics
- Solid understanding of end-to-end data flows, dependencies and integration across data platforms
- Good understanding of data quality, data governance and approaches for maintaining reliable, consistent data
- Strong business acumen with effective stakeholder management, communication and problem-solving skills- Ability to provide technical leadership across cross-functional initiatives and influence technical and business decisions
Nice to have:
- Python and advanced analytics
- Familiarity with AI/ML and AI-driven analytics solutions
- Data product management experience
- Experience working within Agile delivery environments
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