Duties and responsibilities
- Lead the design and implementation of Enable’s enterprise BI and analytics architecture, ensuring alignment with organizational goals and long-term data strategy.
- Establish and govern enterprise data models and unified BI layers, driving standardization and centralization of business-critical data (Snowflake).
- Define and implement, and oversee enterprise data governance frameworks, ensuring high data quality, consistency, security, and compliance across all internal reporting.
- Chair Enable’s cross-functional Data Council, fostering alignment on data strategy, standardized metrics, and analytical best practices.
- Collaborate with senior stakeholders to identify key metrics and reporting needs, translating them into technical solutions and scalable BI products.
- Direct the architecture and execution of data pipelines and workflows using modern data processing frameworks such as DBT and Apache Spark.
- Evaluate and select BI tools and technologies to enhance reporting capabilities and user experience.
- Optimize the performance and scalability of data systems, continuously improving data ingestion, transformation, and reporting processes.
- Provide technical leadership and guidance to business and technical teams leveraging Enable’s BI and analytics ecosystem.
- Monitor data workflows, troubleshoot issues, and ensure reliable and timely delivery of reports and dashboards.
- Stay current with industry trends in BI, analytics, and data engineering, identifying opportunities for innovation and continuous improvement.
Knowledge, skills, and abilities (KSAs)
- Deep expertise in designing and implementing enterprise BI and analytics architectures.
- Proven experience with modern cloud data warehouse platforms, preferably Snowflake.
- Advanced proficiency in data modeling, data warehousing, and dimensional modeling concepts.
- Strong command of data transformation and pipeline tools, such as DBT, Apache Spark, or equivalent.
- Expertise in implementing data governance frameworks, including data quality management, metadata management, and data security practices.
- Experience leading cross-functional data governance initiatives and councils.
- Ability to translate complex business requirements into scalable technical solutions.
- Proficient with BI visualization tools (e.g., Tableau, Power BI, Looker) to design intuitive dashboards and reporting solutions.
- Solid understanding of ETL/ELT processes, data integration, and best practices for handling large, complex datasets.
- Familiarity with version control systems (e.g., Git) and CI/CD pipelines in a data engineering context.
- Strong problem-solving skills, attention to detail, and the ability to work autonomously in a fast-paced, evolving environment.
- Excellent collaboration and stakeholder management skills, with a focus on driving alignment and fostering data literacy across the organization.
Required education and experience
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent experience.
- 10+ years of experience in data architecture, business intelligence, and analytics roles.
- Demonstrated success in designing and implementing enterprise BI platforms and data governance strategies.
- Experience with cloud-based data warehouses (preferably Snowflake) and modern data stack technologies.
- Proven track record of driving data initiatives that support business growth and operational excellence.
Preferred education and experience
- Master’s degree in a related field.
- Experience working in SaaS, high-growth technology, or B2B environments.
- Knowledge of data privacy regulations (e.g., GDPR, CCPA) and compliance best practices.
- Exposure to machine learning and advanced analytics frameworks.
Supervisory responsibilities
- This is an individual contributor role with no direct supervisory responsibilities.
- However, the role will provide technical leadership and guidance to cross-functional teams and data stakeholders across the business.
Travel
- Occasional travel may be required.
Job Title
- When hired this person will have the job title Enterprise BI & Analytics Architect
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What We Do
Enable helps manufacturers, distributors, and retailers take control of their rebate programs and turn them into an engine for growth. Starting in finance and commercial teams, Enable helps better manage rebate complexity with automated real-time data and insights, accurate forecasting, and stronger cross functional alignment. This lets you — and everyone else you authorize in your business — know exactly where you are with rebates. Then you can extend Enable externally to your suppliers and/or customers, setting you and your partners up to use rebates as a strategy with one collaborative place to author, agree, execute, and track the progress of your deals.







