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Principal Data Management Consultant Resume

SUMMARY:

  • Successful history of data monetization taking it from raw data, to action and insight
  • Successful history of applying Design Thinking methodology to setup Data Governance COE, and Data Analytics COE
  • Successful history of leading enterprise data management 100 - Day plan, and multi-generational plan
  • Successful history of leading development of Analytics paradigm, framework, and capabilities
  • Successful history of leading data governance framework, operating and organizational design, data process design, policy and procedure development
  • Successful history of developing data warehousing strategy, data architecture in support of data analytics
  • Successful history of delivering Big Data Strategy, Data Quality, Data Lineage, Data Profiling, Customer MDM, CRM MDM, Material MDM, Vendor MDM and Item MDM
  • Successful history of developing Blockchain COE best practices, strategy and architecture.
  • Successful history of developing data-driven change management strategy, training, version control, processes, and execution plan
  • Successful history of SOA governance, framework, Architecture, and principals
  • Successful history of data visualization platforms, and ETL tools to develop and execute innovative solutions that facilitate data-driven analysis
  • Successful history of delivering business and IT transformation playbooks Enterprise Information Management (EIM) blueprints, Enterprise Intelligence (EI) Framework, API integration, Strategic Performance, MDM playbook, Data Processes, Analytical Processes, Roadmaps, Analytics and Reporting, Data Governance Framework, Corporate Performance Management, and Finance Transformation and enablement for clients in various industries
  • Successful history of leading client’s risk data strategy, framework, architecture, risk data hub, operational information security, data governance, audit and GRC
  • Extensive domestic and international experience in a variety of settings
  • Successful history of developing consumer monetization strategy leveraging
  • Skillful communicator and negotiator in Business Development and Alliance building
  • Exceptional organizational, communications, interpersonal and leadership skills to effectively integrate company goals and objectives into achievable system deliverables on time and within budget
  • Successful management experience in a commercial services firm providing billable consulting services with experience carrying revenue quota responsibility
  • Strong leader and facilitator in technical assessment and strategic planning, extensive experience in functional and process re-engineering. Experienced with all aspects of budgeting, profit and loss responsibility
  • Successful history delivering high quality, results-oriented, customer-focused business solutions for Banking, Insurance, Wireless, Telecommunications, Transportation, and Manufacturing industries in fast paced, challenging organizations
  • Exceptional understanding of control frameworks: COBIT, COSO, ITIL, NIST
  • Successful history of delivering risk data strategy and architecture in support of credit risk data, market risks, operational risk, consumer protection, Basel, AML, BCBS239, information security framework, data privacy, Sarbanes-Oxley, General Data Protection Regulation (GDPR), Data Governance, Privacy, Confidentiality, and Compliance (GDPC), SOX, HIPP, and anti-money laundering
  • Extensive product evaluation, selection and implementation expertise including Azure, Hadoop Technology, Informatica, Reltio, Collibra, Riversand, Tableau, SAP MDG, Archer, Power BI, Oracle, Tibco
  • Proven success in utilizing current and emerging technologies to achieve quality process improvements and significant productivity gains
  • Successful history of delivering OSS/BSS with focus on Configuration Management, Inventory Management, Fault Management, Ticketing Management, Order Management, and Performance Management
  • Research history of Blockchain technology, Cryptocurrency, Bitcoin, Digital Value, Ethereum
  • Expert at applying industry standards such as TM Form, IFW, Worldwide Web Consortium (W3C), and ARTS. IOT Standards, NIST, SANS, CISSP, OSS/BSS, TM Forum standards for Business Process Framework (eTOM), Information Framework (SID), ITIL, Application Framework (TAM), Integration Framework and Architecture & Governance, Federal Enterprise Architecture FEA.

SELECTIVE PROFESSIONAL EXPERIENCE:

Confidential

Principal Data Management Consultant

Responsibilities:

  • Responsible for data monetization intellectual property development, 100-day plan, multigenerational Plan, MDM playbook, enterprise data strategy, data governance, data analytics, golden source of record, Design Thinking, architecture, governance, process development, change management, technology selection process, solution selling, strategy, and business architecture.
  • Responsible for developing Blockchain COE best practices, identified industry and business solutions that can be solved using blockchain.
  • Identified IT and business solutions to improve operational efficiency, created technical innovation to transform customer experience, accelerating business and technical innovation for blockchain, and other business challenges. Identified blockchain opportunities that build on our existing ag products and digital services platform.
  • Identified solutions pathways for blockchain projects with high potential to impact client business. Identified engineering solutions to prototype new blockchain-based products and services that can significantly improve product.
  • Created multigenerational plan for blockchain strategy for business and technical.
  • Lead the development of data governance, data analytics COE.
  • Established a 100-Day Plan, leading to a Multigenerational Plan with focus on data analytics, data governance, data warehousing, business continuity strategy, GDRP framework, MDM playbook and architecture.
  • Developed Collibra Business Glossary, Data Dictionary, Policy Manager, Reference Data.
  • Alignment of data strategy with business priorities with focus on data leverage, data enrichment, data monetization, data protection, and data upkeep.
  • Developed enterprise change management strategies and processes with focus on data driven culture.

Confidential

Enterprise Data Management Leader

Responsibilities:

  • Lead the development of OSS/BSS capabilities by developing OSS/BSS current state assessment, future capabilities and blueprint for success with focus on,
  • Performance Management, Configuration Management, Inventory Management, Fault Management, Ticketing Management, Order Management.
  • Lead the development of data governance COE, data analytics COE, program playbook, metrics, customer MDM, IOT data, Vendor MDM and product catalog MDM, BI, data quality policies, organization design, roles and responsibility description, and processes, data lineage, data profiling, metadata management, a framework in support of business initiatives.
  • Developed business continuity strategy, Used SQL queries to generate catalog report, updated catalog with changes. Lead the GDPR assessment, use case, capability, ecosystem, data profiling, implementation planning, CDO dashboard, and tool selection. Managed 15 consultants and clients across multiple lines of business, and supporting technology team.
  • Developed business capabilities, MDM playbook, and program architecture.
  • Worked with Business owners and IT to develop data monetization strategy, golden source of records, data analytics strategy, ETL strategy, and framework to apply to Sales & Marketing Support, Product Global ID/ Services enhancement, operation, and Regulatory Compliance. Increased profitability by %10, reduced risk, and improved operational cost by 15%.
  • Developed Collibra, Business Glossary, Data Dictionary, Policy Manager, Reference Data. Developed enterprise change management strategy and processes for data governance, big data and data science to facilitate data-driven business transformation.
  • Developed data monetization strategy and model from data enhancement, report and analytics, and process execution.
  • Developed cloud based data migration strategy, process, governance, metrics, data validation, cleansing, conversion, enrichment, standardization, information security and capabilities.
  • Lead the data visualization platforms, and ETL tools to develop and execute solutions that facilitate data-driven analysis. Lead the development of data warehousing strategy, data architecture in support of data analytics. Lead the conceptual and logical dimensional data modeling. Enterprise Data Management direction, for various business domains, definition, communications, architectural standards, guidelines, and states of direction by providing expertise and guidance to architects, on the design, and the establishment of architecture standards to ensure alignment with current and future state business needs. Defined the corporate information framework, API integration, data governance, in support of business and operational analytics.
  • Developed information security strategy, framework, directed the application development team.
  • Developed Azure Cloud-based strategy and architecture to authenticate, and access services and privileged Access Managed Assets (PAM). Evaluated Archer, Power BI, Collibra, Hadoop, MapReduce, Teradata, Tableau, Big Data, J2EE Architecting, Reltio, Azure, SSAS, SSIS, Powershell, Automation, R-Server, Informatica IDQ tools for data governance.

Confidential

Data Leader

Responsibilities:

  • Managed 15 consultants and clients across multiple lines of business, and supporting technology team.
  • Developed business capabilities, playbook, and program architecture. Managed a 400 thousand dollars engagement budget. Increased profitability by %15, reduced risk, and improved operational cost by 10%.
  • Developed Data Analytics and Data Governance COE, GRC strategy, Data Governance policies, security policies, metrics, organization, processes, data quality, data profiling, data lineage, customer analytics, risk analytics, operational data analytics current state assessment and blueprint for success.
  • Worked with business owners and CIO office to develop data monetization strategy with focus on cost reduction, new revenue generation, improving operational efficiencies. Established Enterprise Data Management (EDM), Data Governance COE, Data Analytics COE
  • Developed data monetization strategy, model and execution plan from data enhancement, report and analytics, and process execution.
  • Data Collection Deliverables: Interviewed business and IT to identify pain-points and future state vision. Developed data governance survey, data management maturity assessment, data governance organizational design impact assessment, data management process impact assessment, data architecture technology impact assessment, business & organization assessment, data management work process assessment.
  • Developed business continuity strategy
  • Opportunity Identification Deliverable: developed and recommended opportunities for enhancement. Proposed EDM COE Organizational design, leveraging Scrum Coach while developing MDM Data Playbook.
  • Worked with Business owners and IT to develop data analytics strategy, data quality metrics, golden source of data, data standards, data lineage, data profile, defined data controls in support of DQ, data quality strategy, data lineage, and IFW framework to apply to Risk data across multiple business domains, Sales & Marketing, Product Catalog and Global Product ID / Services enhancement, and Regulatory Compliance. Developed change management strategy, version control, and processes, big data and data science to facilitate data-driven business transformation.
  • Lead the GDPR assessment, use case, capability, ecosystem, data profiling, implementation planning, CDO dashboard, and tool selection.
  • Solution Design Deliverables: developed business process design, developed stakeholder positioning, developed EDM organizational design
  • EDM Blue Print or Program Plan Deliverables: developed a shorter, midterm, long term plan with recommendations on Customer Analytics implementation roadmap, metadata management, data stewardship, data standards, CRM MDM, Customer MDM, IT integration, data quality, business metrics, IT governance, Analytics, Reporting, System Architecture, data management processes, and data quality.
  • Developed MDM CRUD data processes
  • Lead the data visualization platforms, and ETL tools to develop and execute solutions that facilitate data-driven analysis. Lead the conceptual and logical dimensional data modeling.
  • Develop the BI, and Product MDM, Vendor MDM, CRM or Customer MDM integration strategy, API integration, SOA roadmap, SOA governance to integrate the data and services into Collibra, MapReduce, Big Data, J2EE Architecting, Hadoop, Reltio, Azure, SSAS, SSIS, Powershell, Automation, R-Server, Archer. Developed Enterprise Data Management Multi-Generation Plan. Used SQL queries to generate catalog report, updated catalog with changes.
  • Worked with stakeholders to develop Collibra, Business Glossary, Data Dictionary, Policy Manager, Reference Data, Data Governance, Information Security strategy and framework, Audit, Risk Management and Compliance blueprint for success and architecture. Developed a strategic view of compliance & risk management, developed risk management data flow. Leveraged control frameworks such as COSO, CoBIT, ITIL. Developed compliance management architecture, developed compliance & risk management technology requirements. Some of the compliance consideration included data privacy, consumer protection, SOX, Anti-Money Laundering. data privacy
  • Developed integrated risk data process strategy, advanced analytics in support of GRC, Credit Risk, Operational Risk, Market liquidity, Customer, and other risks.
  • Developed Guidewire integration strategy and implementation to integrate various business functionalities.
  • Developed cloud based data migration strategy, process, governance, metrics, data validation, cleansing, conversion, enrichment, standardization, information security and capabilities.
  • Developed financial services closed loop advanced analytics framework with focus customer data, risk data, and operational data
  • Lead the development of data warehousing strategy, data architecture in support of data analytics.
  • Increased profitability by %5, reduced risk, and improved operational cost by 15%.
  • Applied Design Thinking Methodology to Global Enterprise Information Governance Assessment with the focus on various brands and master domains such as Vendor MDM, Finance, Product Catalog MDM, Material MDM, Item MDM, CRM and Customer Master (MDM).
  • Used SQL queries to generate catalog report, updated catalog with changes. Worked with process owners to develop MDM principles, requirements.
  • Lead the change management strategy, processes with focus on data-driven culture change. Lead the data visualization platforms, API integration, and ETL tools to develop and execute solutions that facilitate data-driven analysis.
  • Lead the conceptual and logical dimensional data modeling. Developed data monetization strategy, model and execution plan from data enhancement, report and analytics, and process execution.
  • Developed Collibra Business Glossary, Data Dictionary, Policy Manager, Reference Data. Lead the development of data governance, metadata, data analytics, metrics, cloud strategy, data warehousing architecture, data quality policies, organization, golden source of records, and processes, data lineage, data profiling, a framework in support of business initiatives. Developed cloud based data migration strategy, process, governance, metrics, data validation, cleansing, conversion, enrichment, standardization, information security and capabilities. Products Catalog evaluated and implemented expertise including Collibra, Riversand, SAP MDM, SAP MDG

Confidential

Data Leader

Responsibilities:

  • Managed 10 consultants and clients across multiple lines of business, and supporting technology team. Lead the development of OSS/BSS capabilities by developing OSS/BSS current state assessment, future capabilities and blueprint for success with focus on Configuration Management, Inventory Management, Fault Management, Ticketing Management, Order Management, Performance Management.
  • Developed enterprise data strategy, data governance, data quality, CRM MDM playbook, and program architecture for Connected Cars, Dealer Data Management for various use cases and datasets. Identified and managed stakeholder analytics, compliance, and data governance expectations.
  • Managed a 300-thousand-dollar engagement budget. Lead the development of data governance, metadata, data analytics COE, cloud strategy, data warehousing strategy, API integration, metrics, CRM Customer MDM, and Product Catalog MDM, IOT data, data quality policies, organization, processes, data lineage, data profiling, a framework in support of business initiatives. Worked with process owners to develop MDM principles, requirements. data monetization strategy, model and execution plan from data enhancement, report and analytics, and process execution. Used SQL queries to generate catalog report, updated catalog with changes.
  • Developed cloud based data migration strategy, process, governance, metrics, data validation, cleansing, conversion, enrichment, standardization, information security, data privacy, and capabilities.
  • Lead the data visualization platforms, and ETL tools to develop and execute solutions that facilitate data-driven analysis. Lead the conceptual and logical dimensional data modeling.
  • Products Catalog evaluated and implemented expertise including Informatica IDQ, Tableau, Teradata, SAP MDM, SAP MDG

Confidential

Data Governance Leader

Responsibilities:

  • Managed 25 consultants and clients across multiple lines of business, and supporting technology team.
  • Developed enterprise change management strategy and processes with focus on data-driven culture.
  • Developed the Product Catalog, Global ID, Material, Item, IOT data and CRM Customer MDM strategy, data governance COE, data analytics COE, cloud strategy, API integration, data warehousing architecture, metadata, and data analytics.
  • Used SQL queries to generate catalog report, updated catalog with changes. Lead the data visualization platforms, and ETL tools to develop and execute solutions that facilitate data-driven analysis. Lead the conceptual and logical dimensional data modeling.
  • Developed data monetization strategy, model and execution plan from data enhancement, report and analytics, and process execution.
  • Developed cloud based data migration strategy, process, governance, metrics, data validation, cleansing, conversion, enrichment, standardization, information security, data privacy, and capabilities.
  • Technologies evaluated and implemented are Tableau, SAP MDG, Teradata, and SAP MDM.

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