AI and Data Governance Engineer

Holland & Knight•Tampa, FL

1d•Hybrid

About The Position

We are seeking an AI and Data Governance Engineer to join our team. The AI and Data Governance (AIDG) Engineer is responsible for implementing, configuring, and maintaining the technology stack that powers the AI and data governance program. This includes the data catalog (Atlan), data quality & observability platform (Monte Carlo), and tools and initiatives such as master data management and AI governance solutions. This role works closely within the AIDG Team, as well as the broader Data Strategy and Knowledge & Innovation teams, to ensure that data is discoverable, trustworthy, and governed throughout its lifecycle.

Requirements

Hands-on experience with at least one of the following (or similar): Data catalog: Atlan, Collibra, Alation, Informatica, etc. Data quality / observability: Monte Carlo, Soda, Great Expectations, etc.
Strong SQL skills and solid understanding of modern data platforms (data warehouses/lakes, e.g., Snowflake, Databricks, BigQuery, Redshift, Synapse, etc.).
Experience integrating tools using APIs, SDKs, or event-based approaches.
Familiarity with data governance concepts: data ownership, stewardship, lineage, business glossary, classifications, access controls.
Strong communication skills and ability to translate technical configurations into clear workflows and documentation.
Proficient in Microsoft Office Suite, or Microsoft 365.
Bachelor’s degree
3+ years of experience in data engineering, data platform administration, or similar technical role.

Nice To Haves

Experience administering Atlan and/or Monte Carlo specifically.
Experience with: Master data management (MDM) tools and concepts
AI / ML governance, model registries
Background supporting or participating in a formal data governance program (council, domain stewards, policy rollout, etc.).
Familiarity with security and compliance frameworks related to data (e.g., data masking, RBAC/ABAC, least privileged access).
Experience working in a regulated or data-sensitive industry (e.g., financial services, legal, healthcare, or public sector).

Responsibilities

Serve as primary administrator for: Data catalog (Atlan): users, roles, workspaces, integrations, policies; Data quality / observability tool (Monte Carlo): monitors, alerts, integrations; Tools and initiatives like MDM and AI governance / model registry platforms
Manage configuration, upgrades, and maintenance in partnership with vendors.
Monitor system health, performance, and usage.
Drive improvements and automation where possible.
Coordinate closely with IT on system administration.
Integrate governance tools with key data platforms (e.g., data warehouse/lake, BI tools, orchestration platforms, source systems).
Develop and maintain pipelines to synchronize metadata into the data catalog, push incident/alert data from observability tools into ticketing/incident systems, and synchronize ownership, classifications, and tags across systems.
Automate repetitive tasks (user provisioning, role assignments, metadata sync jobs, etc.) where possible.
Implement and maintain technical and business metadata in Atlan.
Configure and validate data lineage across pipelines, data stores, and BI layers.
Advise on metamodel design for business glossaries, domains, and classifications.
Establish best practices for naming conventions, tagging, and documentation within the tools.
Configure and optimize Monte Carlo for freshness, volume, and schema checks, custom rule-based and anomaly-based quality monitors, and incident routing, severity, and escalation rules.
Partner with data engineering and AIDG analysts to embed data quality checks into critical pipelines.
Track, report, and help reduce data incidents, broken pipelines, and recurring quality issues.
Help define how golden records, reference data, and crosswalks are surfaced in the catalog and monitored in the DQ tool.
Ensure consistent identifiers, hierarchies, and mappings across systems.
Provide hands-on support to users of Atlan, Monte Carlo, and other governance tools.
Create and maintain training materials, quick-start guides, and best-practice playbooks.
Host training sessions, office hours, and demos to drive adoption and consistent usage.
Evaluate and support adoption and integration of any future AI governance tools (e.g., for model registry, lineage, risk controls, and policy enforcement).
Integrate model metadata and lineage into the data catalog.
Partner with Data Science / AI teams to ensure governed access, monitoring, and documentation of models and AI assets.
Align tool configurations with overall data governance policies (access control, retention, sensitivity classifications, etc.).
Help operationalize policies (e.g., PII tagging, restricted domains, masking policies) within tools and data platforms.
Maintain a regular and predictable work schedule and full attention to and engagement in work activities on behalf of the firm during business hours unless otherwise approved or required by applicable law.
Special projects and duties as assigned.

Benefits

comprehensive medical (PPO and HDHPs), dental and vision plans including coverage for domestic partners
life and AD&D insurance
short and long term disability insurance
tax-advantaged accounts for health care expenses, including FSAs and HSAs
FSAs for dependent care
health advocacy services
behavioral health and counseling resources for all family members
401(k)
profit sharing
backup dependent care
senior care planning support
resources for individuals with development disabilities and their caregivers
paid holidays and other paid time off, including paid leave for new parents