Practical Stewardship Roles & Responsibilities For Actualizing Effective Data Governance
Continuing our sharing of Practical Data Governance. This week, we'll be painting a holistic color around the Data Stewardship role in Governance and the overall Management of the enterprise data.
Operationalizing Data Governance Equal Practical Data Stewardship. Stewardship activates governance around your data value chain.
To this effect, it's worth reviewing the 'How'. Governance adoption is activated in a number of ways through different activities along the data value chain:
Stewardship around the enterprise data asset is a fulltime role. Stewardship of due diligence around data as it moves across an enterprise value chain is actualizing the desired cultural transformation of Data Governance.
Hence, every organization must be intentional in turning its data citizens to stewards of their enterprise data asset throughout its lifecycle. Equipping and empowering every data citizen as conduits of effective governance will help accelerate your data governance journey. Assigning the right roles and responsibilities to every data citizen is one of the key milestones of operationalizing your data governance adoption. Every actor along your data value chain should be intimate with the standards of care and due diligent to apply to the data they engage on a day to day basis. They should know their roles and responsibilities in actualizing governance. This will help accelerate creating a 'Trusted Data' environment for your competing needs. It will help amplify the ROI of your enterprise data asset.
What are the roles and responsibilities of a Data Steward?
Below are summarized bullets of Data Stewardship Roles & Responsibilities:
· Data Governance Advocacy
· Community Building & Formation
· Oversight Around Enterprise Data
· Data Sourcing & KDE Identification
· Ownership Identification & Engagement
· Metadata Definitions (Glossaries Development, Data Definitions & Common Taxonomy)
· Data Lineage Development, Validation & Oversight
· Data Quality Review, Management, and Monitoring
· Issues Management & Resolutions
· Change Management Oversight
· Governance & Framework Annual Review, Certification & Attestation
Highlighted below are typical key activities of Data Stewardship aligned with the roles & responsibilities in Effective Data Governance Activation:
Stewardship role in Community Formation & Data Ownership:
· Identification of Data Domains
· Building and formation of data communities around data domains,
· Establishment and identification of data citizens in their constituents into roles and responsibilities around their domain data throughout its lifecycle – from creation to consumption.
· Promoting transparent, authoritative ownership and accountability of due diligence.
Stewardship role in Metadata Management:
· Managing the development of enriched Metadata.
· Promoting a common data taxonomy, standards and definitions of data around enterprise data through proper documentation of Metadata, Data Catalogue, Dictionaries, and Business Glossaries.
· Identification of privacy sensitivity around enterprise data.
Stewardship role in Data Lineage, Sourcing & Documentation:
· Facilitating Data Sourcing & Identification of 'golden source of truth'.
· Facilitating and promoting transparency around data journey through lineage traceability mapping across the data lifecycle.
Stewardship role in Data Quality Management:
· Facilitating collaborations around enterprise standards for consumable data for the organization by defining quality rules, acceptable thresholds measurement & continuous monitoring.
· Effective dashboarding to provide transparency and awareness around data issues.
· Providing opportunities for data maturity and quality improvement.
Stewardship role in Issues Management & Remediations:
· Driving issue identification, tracking, review and effective remediation.
· Promoting common issues management lifecycle
· Tracking ownership assignment and prioritization for remediation & closure
Stewardship in role Change Management:
· Promoting the establishment of a standardized enterprise change management control process of ongoing changes around data
· Facilitating formalized communication and awareness of enterprise data changes. I.e. Sourcing, Metadata, Lineage and Quality rule changes.
In summary, every organization desiring success in its data governance adoption journey must recognize the integral role of stewardship as its key driver in achieving the desired success.
To this effect, you must be ready to invest in equipping and empowering your Data Citizens with the right Training and Tools they need to help realize success in your governance adoption journey. Stewardship roles are your key allies for success and you must position them for success with the needful to help actualize the stated roles and responsibilities highlighted above.
For additional detail and help to equip and empower your data citizens and stewards for success on highlighted roles and responsibilities above. Book a Free Call with me to discuss and we can explore coaching, mentoring and training opportunities for actualizing your desired governance success.