Role Description
Lead enterprise data assessment initiatives to evaluate the quality, maturity, governance, architecture, and business value of organizational data assets. This role is responsible for developing data assessment frameworks, conducting enterprise-wide data evaluations, identifying gaps in data quality and governance, and recommending strategic improvements that support analytics, artificial intelligence, regulatory compliance, and digital transformation. The successful candidate will collaborate with executive leadership, data governance teams, data architects, data engineers, business analysts, compliance, risk management, IT, and business stakeholders to assess enterprise data capabilities and establish improvement roadmaps. The role also involves performing data maturity assessments, evaluating data quality and integrity, reviewing data architecture, monitoring governance effectiveness, preparing executive reports and dashboards, supporting cloud modernization initiatives, facilitating stakeholder workshops, and driving continuous improvements in enterprise data management, operational efficiency, and data-driven decision-making.
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Science, Data Engineering, Business Analytics, Information Technology, Business Administration, Statistics, Mathematics, or a related quantitative field; Master's degree or MBA is highly desirable.
- Proven experience in data governance, enterprise data management, data quality, data architecture, business intelligence, data consulting, digital transformation, or analytics leadership roles.
- Strong understanding of enterprise data governance, data quality management, metadata management, master data management (MDM), data lineage, data lifecycle management, and enterprise data operating models.
- Experience conducting data maturity assessments, governance reviews, data quality evaluations, architecture assessments, risk assessments, and enterprise capability reviews.
- Proficiency in SQL and experience developing analytical reports and executive dashboards using Power BI, Tableau, Looker, Microsoft Fabric, or similar business intelligence platforms.
- Experience working with enterprise data governance and quality tools such as Collibra, Microsoft Purview, Informatica, Alation, Talend, Ataccama, SAP Master Data Governance (SAP MDG), or equivalent enterprise data management solutions.
- Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including modern data warehouses, data lakes, lakehouse architectures, and enterprise analytics ecosystems.
- Strong knowledge of governance and compliance frameworks such as DAMA-DMBOK, ISO/IEC 27001, GDPR, CCPA, BCBS 239, COBIT, or other industry-specific regulatory and governance standards.
- Excellent analytical, strategic thinking, problem-solving, communication, and stakeholder management skills with the ability to evaluate enterprise data capabilities, develop actionable recommendations, and influence executive decision-making.
- Experience supporting enterprise modernization, AI adoption, cloud migration, data strategy development, operating model transformation, and large-scale organizational change initiatives is highly desirable.
- Professional certifications such as Certified Data Management Professional (CDMP), DAMA certifications, TOGAF, Microsoft Azure Data Engineer Associate, Google Professional Data Engineer, AWS Certified Data Engineer, or equivalent enterprise data governance and cloud certifications are considered an advantage.
- A strategic, detail-oriented, and results-driven data leader with a passion for evaluating enterprise data capabilities, improving governance and data quality, and delivering comprehensive assessment frameworks that strengthen organizational data maturity, enable trusted analytics, and support long-term digital transformation and business success.
