Director, Data Management

Focus on the Family•Colorado Springs, CO

1d•$114,098 - $134,765•Onsite

About The Position

The Director, Data Management position exists to lead the enterprise data function for Focus on the Family. This position builds and governs the data foundation on which the ministry depends: documented architecture, a trusted cloud data platform, certified reporting, and governed data assets that let ministry, advancement, marketing, care, content, and finance leaders make sound decisions. The Director is expected to be personally hands-on in the platform while leading and developing the team. The role is architecture- and documentation-led rather than report-production-led and is accountable for establishing what the organization has never had in durable form: documented data architecture, source-to-target lineage, a business glossary with certified metric definitions, and runbooks that remove key-person risk. The Director owns Snowflake, leads modernization of the legacy SSRS estate, owns data initiatives across the Salesforce ecosystem, and owns the data-readiness posture that makes AI safe to use. The central team owns platform, architecture, standards, and governance process; business and ministry domains own the meaning and stewardship of their data. Because the team today is weighted toward SSRS and SQL development, growing existing staff into data engineering and governance capability is a core expectation of this role.

Requirements

Bachelor’s degree in Information Systems, Computer Science, Data Science, Analytics, or equivalent experience and certification (Equivalent Experience in lieu of education is acceptable)
7-10 years of experience in data management, engineering, analytics, or business intelligence, including at least 3 years leading or formally mentoring technical staff
Hands-on ownership of a cloud data platform in production. Snowflake strongly preferred; Databricks, BigQuery, Redshift, or Fabric considered
Ownership of enterprise data architecture, including documented modeling, source-to-target mapping, and integration patterns
Track record modernizing a legacy reporting estate, including rationalization and the stakeholder change management it requires
Has established data governance that was adopted in practice; named owners and stewards, glossary, certified definitions, working data quality process; not a policy document alone
Advanced SQL and current fluency in dbt or equivalent, ELT tooling, version control, and CI/CD for data
Experience with sensitive or regulated data and the access controls, classification, and audit it requires
Experience developing technical staff onto new platforms and ways of working
Able to explain architecture and tradeoffs to non-technical ministry and business leaders
Strong written communication: produces architecture documentation and standards others can use
Translates ambiguous business questions into clear data requirements, and declines requests that do not serve the strategy
Manages numerous and sometimes conflicting objectives and priorities
Understands core ministry and business operations and the interactions among departments
Facilitates governance forums and working groups that produce decisions
Cooperative in resolving conflict; treats organizational seams as shared problems rather than turf
Builds a capable team and develops the people already on it

Nice To Haves

Ability to build predictive or statistical models on governed data, and interest in growing that capability over time
Salesforce and Marketing Cloud data models, Salesforce Data Cloud
Power BI or Microsoft Fabric, including SSRS migration experience
Data catalog, lineage, and data quality tooling; master data management and identity resolution
Nonprofit, ministry, media and content, or membership organization experience
Workday and enterprise finance and giving system data
Asset management metadata, content taxonomy, and semantic governance
GDPR, CCPA/CPA, PCI, and donor data stewardship expectations

Responsibilities

Owns enterprise data architecture: conceptual, logical, and physical models; source-to-target mappings; integration patterns; master and reference data strategy. Maintains the enterprise data documentation set as a standing deliverable: architecture decision records, data dictionary, business glossary, lineage, classification register, and runbooks
Enforces the standard that nothing enters production without documented owner, purpose, lineage, refresh cadence, quality checks, classification, and access policy. Reduces key-person risk in mission-critical data assets to a measurable target through documentation and cross-training.
Owns the Snowflake platform: environment architecture, access patterns, modeling and naming standards, masking and row-level security, tagging, retention, and observability.
Remains personally hands-on in SQL, modeling, and transformation work; sets technical patterns by building them.
Owns ingestion, transformation, and orchestration standards, including dbt or equivalent, version control, testing, and CI/CD for data.
Owns data initiatives across the Salesforce ecosystem: CRM and Marketing Cloud data architecture, identity and household resolution, consent data integrity, and flows to and from Snowflake.
Owns platform cost management and coordinates the data roadmap with the infrastructure cloud migration.
Maintains data quality automation, pipeline monitoring, and data incident response.
Leads inventory, rationalization, and selective modernization of the legacy SSRS estate; retires reports that do not earn their keep.
Establishes certified enterprise metrics and a semantic layer so executive, board, and departmental numbers reconcile.
Builds managed self-service: certified datasets, standards, templates, and coaching for analysts across the organization.
Runs a prioritized data roadmap with visible capacity and published tradeoffs; treats durable data assets as products, not one-off requests.
Operates the hub-and-spoke governance model; names executive data owners and stewards in every critical domain and runs the cadence that holds them accountable. Runs the data steward working group and maintains a decision log for enterprise definitions and source-of-truth determinations.
Owns the data domain model, glossary, catalog, metadata, lineage, classification standards, and data quality issue lifecycle.
Owns the data-readiness posture for AI: classification, lineage, quality, consent status, and access control. Required reviewer for AI and analytics use cases involving donor, family, minor, or care data.
Partners with Cybersecurity, Infrastructure, Legal, and Privacy on GDPR, CCPA/CPA, PCI, and donor data obligations. Cybersecurity owns identity and policy; this role owns technical implementation inside the platform.
Enforces conformance to content taxonomy and metadata labeling standards across MAM and DAM. Content and enterprise architecture own the taxonomy; this role owns enforcement and measurement.
Upholds ministry trust boundaries. Donor, family, minor, and counseling data are governed with explicit restrictions, not collapsed into one unrestricted profile.
Leads, coaches, and develops the team; sets priorities, assigns work, and holds the team to documented standards.
Assesses team capability honestly and builds a realistic plan to grow existing SSRS and SQL staff into data engineering, analytics engineering, and governance roles.
Determines the future shape and staffing needs of the function and makes the case for investment as the capability matures.
Sets department goals against the enterprise data strategy; reports progress, risks, and tradeoffs to the CDIO and executive governance.
Partners with the IT PMO on funded project delivery while owning the continuous data roadmap directly. Manages data platform vendors.
Perform other duties as assigned