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Data Office:
* Stood up & operationalized the Data Governance function and the Data Governance Council (DGC) for the Chief Data Officer (CDO).
* Defined DG roles & Accountabilities and identified business leaders into those Data Owner & Stewardship roles as part of DGC.
* Created Data Office – Body of Frameworks (DOBOF) to define the organizational structure, operating model with driving value streams, data policies & procedures, risk & audit frameworks and a set of technical frameworks for data operations, data catalog (metadata management), data quality, information architecture and business insights.
* Recruited a team of hands-on leaders for driving the data governance initiatives, along with a few more leveraged resources from business & data management groups to assist them.
* Currently engaged in supporting various initiatives across the organization like Salesforce CRM, Snowflake cloud data warehousing & analytics and Varonis infosec implementations etc.
Data Governance & Stewardship:
* Effectively introduced data domain stewardship & risk culture and data-driven decision-making culture through a series of data literacy campaigns and formalized role accountabilities from executives to analysts.
* Led the Data Governance Council through DGC meetings and bridged the gap with business needs with effective data services.
* Engaged the Data Stewardship working committee to collaboratively evolve stewardship across all the data domains.
* Drafted data policies and peer reviewed with InfoSec and Legal to present to DGC for ratification and further adoption.
* Remediated existing IT & data security policies to include data governance components.
* Further established procedures to mitigate the risk identified by Policy guidance and help Stewards/Custodians define a roadmap to compliance to address the gaps with current state.
Data Risk & Internal Controls for Audit:
* Established data risk framework with the formal three lines of defense under the purview of the Chief Financial Officer (CFO).
* Defined the risk control environment and respective internal control measures to assess, monitor and mitigate data risk.
* Collaborated with Internal Audit to develop procedural guidelines for random audit and enforce policy compliance.
Information Architecture:
* Brought Information (business + data) architecture and Business Insights functions under the Data Office to be defined by data domains and driven by business needs to evolve knowledge graphs and drive data science efforts.
* Produced an integrated Business Information Model and Enterprise Data Model, which decomposes into aligned business terms & data elements for establishing enterprise data classes and respective data modeling & integration standards.
* Identified all the enterprise data domains (Master/Transactional/Derived), identified respective system of records and provisioned first phase of master data services.
Metadata Management:
* Managed end-to-end metadata lifecycle and implemented through IO Tahoe data catalog & governance insights tool.
* Designed a meta-model and guided the metadata team through initial curation of business & operational metadata.
* Classified data during metadata ingestion phase for labeling & tagging, and handling with well-defined procedures.
* Implemented data security governance on data services consumption through access controls, log aggregation & auditing.
Data Quality:
* Defined the data quality framework with quantitative dimensions to qualitatively enrich data to be fit for purpose.
* Built the data quality team to showcase immediate value across domains and lure business Leaders into DG adoption.
* Remediated business/application processes as identified by DQ profiling & standardizing results to ensure overall quality assurance.
Business Insights:
* Defined the business insights roadmap in four phases in evolving current reporting & business intelligence and AI/ML based predictive & prescriptive analytics in collaboration with Marketing.
* Data Quality & CX: Championed front-office data literacy programs, resulting in a 40% increase in data entry accuracy and a 28% reduction in customer complaints.
* Market Strategy & Decision Intelligence: Leveraged Decision Intelligence for dynamic pricing strategies and location-based marketing campaigns by integrating external data signals (weather patterns, collegiate events) to predict peak moving demand.
* New Customer Acquisition: Drove an 8% increase in sales by implementing granular household segmentation, specifically targeting high-value segments like university students and seasonal moving patterns.
* D2C Growth: Achieved a 17% uplift in targeted sales through precision outreach to young professionals and local event-based marketing to improve retention and cross-selling.
* B2B Account Management: Reduced churn and improved B2B client retention by 5% through proactive, data-driven relationship management.
* Operational Efficiency: Spearheaded initiatives that improved overall business operations by 18%; utilized demand forecasting to optimize storage unit sizing, logistics, and pricing.
