Data Governance Roles — M2

DATAGO.DATAGOVE3227.M2

M2M2 — Manager IIhigh0.80approvedglobalv1

Management track for data governance leadership: supervising and leading teams that establish, operate, and enforce data governance programs — including governance policies/standards, metadata and data catalog operations, data lineage, business glossaries, data quality rules/metrics, and regulatory compliance. Distinct from individual-contributor (IC) governance analysts who author deliverables hands-on; this track owns people management, program operations, framework accountability, and progressively the enterprise data strategy. Scope deepens from supervising a governance unit (M1) to directing the enterprise governance program with division-wide impact (M5).

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Level

M2 · M2 — Manager II · 5–8 yrs

Function · Focus

Data Governance Roles · Data Governance Roles

Market pay (median)

$119k ($93k–$151k)

Pay basis

function-anchored · wide bars

Focus — Data Governance Roles

Responsibilities by level

What this person actually does at each level on the management track — escalating scope, not one generic blob. Your level is highlighted.

Supervises the daily work of data governance analysts maintaining the Data Catalog tool, including data intake, security classification, and user documentation, assigning tasks and reviewing output for completeness and accuracy
Oversees a unit's compliance monitoring activities — data privacy controls, consent management, and data access restrictions — escalating exceptions to senior governance leadership
Coordinates analysts curating metadata and maintaining data dictionaries and metadata repositories, ensuring deliverables meet established governance standards
Supports the implementation of established data governance policies, procedures, and guidelines within the unit, applying defined practices to recurring data issues
Runs unit-level training sessions and workshops to disseminate governance best practices to staff and data stewards

M2this profile

Leads a skilled team of governance analysts owning end-to-end deliverables such as data lineage diagrams, business glossaries, and data quality validation checks, and is accountable for their tactical outcomes
Manages cross-functional cooperation with data owners and stewards to keep data dictionaries, lineage, and metadata repositories accurate, current, and interpretable by technical and business audiences
Applies judgment within known governance factors to prioritize the team's workload across catalog operations, lineage development, and data quality profiling
Oversees regular audits and assessments of data compliance and security risks, consolidating findings for senior management review
Coordinates adoption of metadata management and data catalog platforms (e.g., Collibra, Informatica, Purview) across the team, owning the configuration and operational use of assigned tools

Manages the data governance department's operations and budget, planning, assigning, scheduling, prioritizing, directing, and coordinating the work of data governance analysts and staff
Leads the development, implementation, and management of the data governance program across the function, evaluating trends and diverse data issues to guide improvement
Supervises the establishment of data governance policies, procedures, standards, and frameworks, and resolves ambiguous data-related issues escalated by the team
Collaborates with cybersecurity teams to drive adoption of data governance tools and with data owners to oversee compliance with state and federal regulations
Participates in the selection and assignment of staff, and identifies areas for improvement, providing guidance on data quality metrics and stewardship practices

Manages multiple governance sections or critical functions (e.g., metadata/catalog operations, data quality, regulatory compliance), aligning governance strategy with broader business objectives
Develops and maintains the enterprise data governance framework, defining strategic policies whose lapses could jeopardize business and compliance activities
Defines data ownership and stewardship models and assigns responsibilities across the organization, engaging senior leaders on functional governance strategy
Establishes and monitors data quality metrics and KPIs across multiple teams, directing remediation where systemic quality or compliance risks emerge
Coordinates with risk, legal, and compliance functions to address regulatory obligations, influencing without direct authority across the cross-functional environment

Directs the enterprise data governance program through subordinate managers, with decisions impacting overall division or company data operations
Defines governance methods and the enterprise data strategy, resolving complex org-wide data issues and aligning data initiatives with business objectives
Runs the Data Governance Program Office — including documentation, communication, and enforcement — and reports governance metrics and progress to executives
Influences executives and major stakeholders on key data risk, quality, and compliance issues, and champions data as a strategic asset across the organization
Establishes division-wide accountability models and stewardship governance, leading through department managers and coordinating with risk, legal, and compliance leadership

Level guidelines

The universal leveling rubric applied to this function — how scope, complexity, collaboration, and experience step up across levels.

Level	Knowledge & Application	Complexity & Problem Solving	Collaboration & Interaction	Typical Degree & Years
M1	Functional expert in data governance operations (catalog maintenance, metadata curation, compliance monitoring) with some leadership exposure; applies established practices and standards to a defined unit.	Limited scope; resolves recurring, well-defined data issues using established governance procedures and guidelines.	Daily interactions with unit staff and peer stewards/owners to coordinate operational governance tasks.	Functional governance expertise with first-line supervisory exposure; directly supervises individual contributor analysts.
M2	Deepens governance specialization across lineage, glossary, and data quality; applies judgment within known factors to lead a skilled team owning end-to-end deliverables.	Makes judgments within known governance factors; balances competing operational priorities and interprets standards for non-routine data cases.	Cross-functional cooperation with data owners, stewards, and platform teams to maintain shared governance artifacts.	2–5 years in team leadership or specialist governance roles; manages skilled ICs or junior governance staff.
M3	Applies broad governance knowledge to lead a department's program, policies, and frameworks; evaluates trends across diverse data domains.	Addresses diverse data governance issues requiring trend evaluation and judgment; resolves ambiguity escalated from the team.	Leads functional and cross-functional governance teams; partners with cybersecurity, data owners, and compliance contacts.	5–7+ years managing data professionals and owning governance operations and budgets.
M4	Applies strategic governance expertise to define enterprise frameworks, stewardship models, and quality KPIs aligned to business objectives.	Tackles strategic policy questions where governance gaps could jeopardize business and regulatory activities; defines methods across multiple sections.	Engages senior leaders on governance strategy and influences risk, legal, and compliance functions without direct authority.	8–10+ years; complex multi-team or critical-function governance leadership.
M5	Defines enterprise data strategy and governance methods; applies division-wide expertise to position data as a strategic asset.	Resolves complex org-wide governance issues and defines the methods and accountability models that shape division/company data operations.	Influences executives and major stakeholders on key data risk, quality, and compliance issues; leads through department managers.	10–12+ years, including second-level management and enterprise data strategy work.

Skills

Focus-specific skills the role applies — the relevance layer beyond the occupational base.

Data governance: Establishing policies, standards, and accountability to ensure data quality, integrity, and security.
Data management: Practices for handling, storing, and maintaining organizational data.
Regulatory compliance: Ensuring adherence to data privacy regulations and data protection policies.
Stakeholder management: Coordinating across technical and business stakeholders and cross-functional teams.
Influence without authority: Communicating and persuading others to fix problems and adopt governance practices without direct managerial control.
Project management: Planning, coordinating, and delivering governance initiatives.
Metadata curation and management: Creating and maintaining metadata, data dictionaries, and repositories.
Data lineage development: Building end-to-end diagrams tracing data from source systems through transformations to consuming applications; distinguishing technical lineage from business lineage.
Business glossary management: Building and maintaining shared business definitions of data terms.
Data quality rule authoring: Writing data quality rules and validation checks across dimensions of completeness, accuracy, consistency, and timeliness.
Data analysis: Examining data to derive insights and support decisions.
SQL: Uses this tool/technology effectively during the delivery of day-to-day tasks.
Collibra: Uses this tool/technology effectively during the delivery of day-to-day tasks.
Microsoft Purview: Uses this tool/technology effectively during the delivery of day-to-day tasks.

Provenance

The evidence base behind this profile — every layer is sourced; quality is scored by an adversarial review panel (1–5; passes at ≥4 on the minimum dimension).

Level differentiation4.5Focus specificity4.0Concreteness4.5Factual accuracy4.5Real-world coverage4.0

9 sources

Level — M2 — Manager II

Manages an established team or sub-function; owns planning and performance for the group.

Scope: An established team or sub-function
Autonomy: Owns planning for the group
Complexity: Cross-project coordination and priorities
Impact: Group delivery and development
Decision rights: Owns staffing, priorities, performance for the group
Leadership: Manages a team; sometimes manages leads
Typical experience: 5–8 yrs

Adjacent roles

Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →

DATAGO.DATAGOVE3227.M1

Data Governance Roles — M1

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DATAGO.DATAGOVE3227.M3

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DATAGO.DATAGOVE3227.M4

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DATAGO.DATAGOVE3227.M5

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