Business Control Manager - Data Products Governance

Bank of America•Charlotte, NC

5d•Onsite

About The Position

This role is responsible for supporting internal control discipline, governance execution, and operational excellence for the Data Products governance model. Data Products are reusable, governed data assets used across reporting, analytics, business decisioning, and AI-enabled consumption, and this role helps ensure they move through a controlled lifecycle with clear ownership, consistent standards, retained evidence, and appropriate governance oversight. The successful candidate will bring experience in data governance, data management, business controls, risk management, or technology governance, with the ability to translate governance requirements into clear operating routines, documentation expectations, and evidence standards. This role requires strong attention to detail, effective written and verbal communication, the ability to manage multiple priorities, and comfort working across Product Owners, Data Partners, Technology, Platform, Risk, Compliance, PMO, and business teams. The candidate should be able to identify governance gaps, document decisions, escalate risks, monitor adherence to enterprise standards, and help maintain a control environment that enables Data Products to be scalable, reusable, trusted, and ready for analytics and AI use.

Requirements

5+ years of experience in business controls, data governance, operational risk, compliance, audit, data management, technology governance, or a related governance / control function.
Experience supporting governance routines, control execution, issue tracking, evidence management, decision logs, reporting, or executive governance materials.
Strong understanding of risk and control principles, including control design, monitoring, testing, issue identification, remediation, and escalation.
Ability to review documentation for completeness, consistency, control alignment, and evidence quality.
Ability to translate data, technology, and governance requirements into clear business language for senior stakeholders and cross-functional partners.
Demonstrated leadership capabilities, including ability to influence without direct authority, drive accountability, operate through ambiguity, and support governance routines with senior partners.
Strong written and verbal communication skills, organizational discipline, attention to detail, and ability to manage multiple priorities and dependencies.
Proficiency with Microsoft Office, including Excel, PowerPoint, Word, Teams, and SharePoint.

Nice To Haves

Experience with data management operating models, data catalog / registry processes, product certification, or enterprise data governance frameworks.
Experience working with Product Owners, Data Stewards, Data Partners, SMEs, Technology, Risk, Compliance, or PMO teams supporting governed data delivery.
Experience supporting intake / demand governance, prioritization, build readiness, release readiness, access approval, certification, or lifecycle monitoring.
Experience with high-risk governance processes or control frameworks requiring documentation, evidence, challenge, escalation, and approval discipline, model governance, AI governance, data risk governance, or regulatory governance.
Experience preparing materials for executive governance forums, steering committees, working groups, risk committees, or similar management routines.
Familiarity with AI / BI consumption governance, permissible use, data protection controls, controlled-use approval processes, or related governance tooling such as JIRA, Confluence, Collibra, data catalogs, or workflow platforms.

Responsibilities

Execute Data Product governance routines across the lifecycle
Maintain decision logs, approval evidence, issue / exception trackers, action plans, and governance evidence to support auditability and management reporting.
Partner with Product Owners, Data Partners / SMEs, Technology, Risk, Compliance, PMO, and business stakeholders to drive adherence to governance standards.
Support standards and requirements for Data Products.
Identify governance gaps, control issues, documentation inconsistencies, and opportunities to improve process design, control execution, and evidence quality.
Prepare executive-ready governance materials, status updates, dashboards, Working Group packages, and SteerCo materials.
Coordinate with control partners on policy alignment, data protection, access approvals, AI usage, risk implications, and certification readiness.