AI use among detectives and criminal investigators is little observed so far. Measured exposure for detectives and criminal investigators: 4% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

We are looking for a Director, Data and Intelligence to lead our enterprise data, business intelligence and reporting capabilities. This is an opportunity to shape enterprise reporting across Finance, Sales, Customer Service, Operations and other corporate functions, as well as customer and product usage reporting.

This hands-on build-and-run leadership role will establish a stable, governed and scalable operating model across a technology landscape that includes Snowflake, AWS Redshift, Databricks, Microsoft Fabric, Power BI, Pendo and Snowplow. We would love to speak with you if you bring strong practical experience in enterprise reporting, modern cloud data architectures and data-platform transformation, with the leadership depth to guide specialists and connect data investments to business outcomes.

About You - experience, education, skills, and accomplishments

Bachelor's or Master's degree, or equivalent practical experience, in data, analytics, technology, engineering, computer science or a related field.

At least 10 years of relevant experience across data, analytics, reporting or data-platform delivery.

At least 5 years of leadership experience managing data, BI, engineering or analytics teams.

Experience owning enterprise reporting and business intelligence in a complex organization.

Strong practical understanding of Snowflake, Power BI and modern cloud data architectures, with working knowledge of AWS Redshift, Databricks and Microsoft Fabric.

It would be great if you also had . . .

Experience with customer or product usage analytics, including Pendo, Snowplow or comparable technologies.

Experience leading data migration, reporting transformation or enterprise data-platform initiatives.

Strong understanding of data engineering, dimensional modeling, semantic models, ETL/ ELT and data-quality practices.

Experience integrating data from CRM, ERP, Finance and operational systems, directing specialist partners and translating business questions into sustainable reporting solutions.

Corporate carve-out, separation, merger or TSA exit experience.

Experience with Snowflake administration, architecture and cost management, or Microsoft Fabric, OneLake , Power BI governance and semantic-model management.

Experience with AWS data services, including Redshift, S3 and Glue, or Databricks, Delta Lake and Unity Catalog.

Experience with Pendo and Snowplow data ingestion and usage-reporting models, or enterprise reporting across Salesforce, NetSuite and Finance applications.

Experience with data catalogs, lineage, master data, data governance or establishing a controlled self-service analytics model.

What will you be doing in this role?

Data and intelligence leadership: Own the strategy, roadmap and operating model for enterprise data, analytics and reporting, establishing clear ownership and translating business priorities into practical plans.

Enterprise and usage reporting: Oversee executive dashboards, management reporting, operational reports, self-service analytics and customer and product usage reporting, with consistent definitions and trusted sources.

Platforms and architecture: Set direction across Snowflake, AWS Redshift, Databricks, Microsoft Fabric and Power BI, defining the role of each platform and ensuring scalable, secure and supportable architecture.

Data engineering, governance and quality: Lead pipelines, modeling, transformation and integration while establishing practical governance for ownership, lineage, classification, access, retention and data quality.

Delivery and operational stability: Lead discovery, architecture, migration, engineering, validation, cutover, stabilization and handover while protecting reporting continuity and data integrity.

Team and partner leadership: Lead a multidisciplinary team of data engineers, BI developers, data analysts, platform specialists and product owners, and manage specialist partners, budgets, platform costs, licensing and resource plans.

About the Team

The Data and Intelligence team supports enterprise data, analytics and reporting across Finance, Sales, Customer Service, Operations and other corporate functions, along with customer and product usage reporting. The multidisciplinary team includes data engineers, BI developers, data analysts, platform specialists and product owners. This role will partner with business leaders and Enterprise Architecture, Cloud, Security, Privacy, Compliance, Application, Product Technology and Product Operations teams, as well as systems integrators and specialist partners.

Hours of Work

Full-time permanent position primarily working core business hours in your time zone, with flexibility to adjust to various global time zones as needed.

Hybrid position working 2-3 days per week on-site.

Must live within a commutable distance of the Philadelphia, PA office.

At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.