Conflict Analyst assisting with client acceptance and conflict clearance at Baker Tilly. Conducting risk analysis and supporting project management across various service lines.
About the role
- Sr. Associate, Data Governance at Baker Tilly managing governance policy development and data quality initiatives. Collaborating with business and technical teams for cross-domain data governance execution.
Responsibilities
- Partner with data domain leads (e.g., client, finance, HR, operational data) to align on definitions, ownership, and standards
- Help coordinate governance activities across business and technical stakeholders
- Support data stewardship engagement and domain working groups
- Track action items, decisions, and progress across governance initiatives
- Partner with system owners to define and implement data quality rules, controls, and monitoring processes
- Help identify data quality gaps and coordinate remediation efforts
- Support root cause analysis for recurring data issues
- Document data quality metrics and reporting processes
- Contribute to the development and maintenance of data and AI governance policies, standards, and procedures
- Facilitate working sessions and document decisions, frameworks, and ownership models
- Maintain governance artifacts such as decision logs, data ownership matrices, and RACI models
- Support change management and communication efforts related to governance initiatives
Requirements
- Bachelor’s degree in Business, Information Systems, Data Analytics, or related field required
- 2–5 years of experience in data governance, data management, business analysis, analytics, or related roles
- Exposure to data quality, master data management, or enterprise data initiatives
- Experience working with both business and technical stakeholders
- Experience in a consulting or professional services environment
- Experience supporting MDM initiatives
- Demonstrated ability to document requirements, policies, and decisions clearly
- Strong facilitation and consensus-building skills
- Analytical mindset with attention to detail and process improvement
- Ability to translate between technical and non-technical audiences
- Familiarity with data integration or data platforms (e.g., Databricks, Boomi, or similar tools)
Benefits
- Comprehensive compensation and benefits package
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