Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field required
10 years of experience in data, analytics, or BI leadership, including leading a data platform program required
3 years of supervisory experience required, managing teams of employees and contractors
Hands-on experience with SQL and Snowflake or an equivalent cloud data warehouse required
Experience delivering a modern data platform end to end required
Experience managing consulting partners and contractors required
Advanced knowledge of data architecture, governance, and analytics enablement
Responsibilities
Define and execute an enterprise-wide data and analytics strategy and multi-year roadmap
Own delivery of the New Modernized Data Platform through go-live and into steady-state operation
Manage consulting partners and contractors, leading knowledge transfers to the internal team
Own the end-to-end data lifecycle using a medallion architecture on a cloud data warehouse
Provide architectural guidance for data platforms and review technical deliverables
Lead data governance, security, and compliance initiatives
Establish and lead an enterprise data quality framework
Benefits
Medical, dental, vision and life insurance
Short and long-term disability coverage
401(k) plan
3 weeks paid time off in your first year + paid holidays
Discounts on braces and clear aligners for you and your family members
Full Job Description
We're seeking a Director, Data Strategy, to join our growing team.
The Director, Data Strategy is responsible for shaping and executing our data strategy, overseeing BI development, enabling analytics across departments, and driving data governance, data quality, and modernization efforts. This position leads a team of BI developers, database engineers, and analysts, and will own the New Modernized Data Platform as it moves from build and go-live into steady-state operation.
How you'll make us better:
Define and execute an enterprise-wide data and analytics strategy and multi-year roadmap aligned with business goals
Own delivery of the New Modernized Data Platform through go-live and into steady-state operation, including scope, schedule, budget, risks, and dependencies
Manage consulting partners and contractors, and lead knowledge transfers so the internal team can own, support, and evolve the platform
Own the end-to-end data lifecycle including ingestion, transformation, analytics, and consumption, using a medallion (bronze/silver/gold) architecture on a cloud data warehouse
Provide architectural guidance for data platforms, pipelines, semantic models, and reporting solutions, and review technical deliverables for scalability, performance, and maintainability
Ensure reliability, monitoring, and documentation of data pipelines and data movement across systems, and own cloud data platform cost and access governance
Lead data governance, security, and compliance initiatives, including enterprise KPI and metric definitions, data catalog, lineage, and stewardship
Establish and lead an enterprise data quality framework, including standards, automated validation and monitoring, data quality scorecards, and resolution of issues at the source
Enable self-service analytics and advanced insights for business teams through certified datasets and governed semantic models
Oversee development, rationalization, and modernization of data products, dashboards, and analytical solutions
Build an AI-ready data foundation of curated, well-documented, and governed data and metadata to support AI-assisted analytics and natural-language access to data
Identify, prioritize, and deliver AI, machine learning, and advanced analytics use cases, including but not limited to; forecasting and anomaly detection in partnership with business and technology teams, taking them from pilot to production with measurable value
Evaluate and adopt AI capabilities within the data warehouse and BI platforms, and apply AI to improve data team productivity, including but not limited to; code review, documentation, testing, and pipeline monitoring
Establish responsible AI practices, including access controls, protection of patient and sensitive data, and validation of AI outputs, in alignment with company policies
Modernize legacy data systems and drive adoption of cloud-based platforms
Collaborate with IT and business leaders to prioritize and deliver high-value data initiatives, and communicate progress, risks, and decisions needed in clear business language
Review code, validate data, troubleshoot pipeline issues, and build critical reports as needed
Use approved AI tools to complete assigned tasks more efficiently and effectively, in alignment with company policies
Your special skills:
Strong analytical and problem-solving skills
Strong written and oral communication skills
Ability to present complex technical information in a clear and concise manner, making it easy for non-technical partners or stakeholders to understand
Executive presence: ability to present confidently and concisely to senior leaders, influence without relying on title, push back respectfully, and secure alignment on priorities
Prerequisites for success:
Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field required
Ten (10) years of experience in data, analytics, or BI leadership, including leading a data platform program required
Three (3) years of supervisory experience required, including managing teams of employees and contractors
Demonstrated hands-on experience with SQL and Snowflake or an equivalent cloud data warehouse required
Experience delivering a modern data platform end to end (ingestion, transformation, semantic layer, and reporting) required
Experience managing consulting partners and contractors, including statement of work oversight and knowledge transfer required
Experience establishing data quality practices and defining enterprise KPIs and metric definitions required
Experience delivering AI or machine learning use cases on a cloud data platform preferred
Experience in multi-location healthcare, dental, or orthodontic organizations preferred
Advanced knowledge of data architecture, governance, and analytics enablement
Advanced knowledge of cloud data platforms (such as Snowflake, Azure, AWS) and SQL
Working knowledge of data warehouse design (including medallion architecture), data orchestration and transformation tools (such as Azure Data Factory, SQLMesh, or dbt), data catalog tools (such as Atlan), and Power BI
Knowledge of data quality practices, including profiling, validation rules, monitoring, and issue management
Strong analytical and problem-solving skills
Strong written and oral communication skills
Ability to present complex technical information in a clear and concise manner, making it easy for non-technical partners or stakeholders to understand
Executive presence: ability to present confidently and concisely to senior leaders, influence without relying on title, push back respectfully, and secure alignment on priorities
We saved the best for last.
In exchange for the dynamic contribution you'll bring to our team, we offer:
Competitive salary
Medical, dental, vision and life insurance
Short and long-term disability coverage
401(k) plan
3 weeks paid time off in your first year + paid holidays
Discounts on braces and clear aligners for you and your family members
