Head of Enterprise Data Strategy & Analytics

Baker Tilly Canada; San Francisco (CA); In loco; USD 350.000 - 550.000; Tempo pieno

Descrizione del lavoro

Baker Tilly Canada seeks a Managing Director of Enterprise Data & Analytics to lead data engineering, data platform, MDM, semantic modeling, reporting and analytics across US and global teams.

This senior leader will shape data architecture, govern data products, support regulatory readiness, and collaborate with AI, security, finance and risk to enable scalable AI and trusted insights.

Competenze

• 15+ years in data engineering, platforms, enterprise data architecture, analytics, or technology leadership.
• Proven ownership of a production Databricks lakehouse, including governance and cost optimization.
• Experience integrating ERP, CRM, HR, finance systems in a complex org.
• IPO-ready or publicly traded environment data/reporting controls experience.
• Experience enabling AI/ML programs with governed data and reproducible datasets.

Mansioni

• Lead strategy, architecture, engineering, and operations of the enterprise Databricks lakehouse.
• Oversee data engineering, integration, DataOps, and CI/CD for data pipelines.
• Own enterprise data architecture with EA&G on data domains, interfaces, and metadata.
• Develop a governed semantic layer with KPIs and conformed dimensions.
• Lead enterprise MDM, entity resolution, golden records, and data stewardship.
• Oversee reporting dashboards delivering executive, operational, financial insights.
• Enforce data governance, privacy, security, retention, lineage, and auditable processes.
• Collaborate with Security, Risk, Legal, Privacy, Compliance, Finance on controls.

Conoscenze

Databricks lakehouse

Data engineering

Data governance

Enterprise data architecture

Executive stakeholder management

AI/ML governance

FinOps

Formazione

Bachelor's degree in CS/IT/DS/Engineering

Strumenti

Databricks

BI tools

ERP integration

SOX controls

Descrizione del lavoro

Baker Tilly Canada seeks a Managing Director of Enterprise Data & Analytics to lead data engineering, data platform, MDM, semantic modeling, reporting and analytics across US and global teams.

This senior leader will shape data architecture, govern data products, support regulatory readiness, and collaborate with AI, security, finance and risk to enable scalable AI and trusted insights.