SUMMARY:

• Significant experience with Confidential program design and implementation in complex environments. Strong written/oral communication and presentation skills - Ability to explain value of Data Governance and MDM to both business and technical stakeholders. Ability to analyze complex environments, condensing concepts and presenting to clients and advanced analytical, problem solving, organizational skills with demonstrated ability to multi-task, organize, prioritize and meet deadlines. Self-motivated and able to work independently as well as in a team environment.
• Understanding of enterprise data management concepts and leading practices with strong project management skills and continuous improvement methodologies and significant experience with business process analysis with strong emotional intelligence and relationship building ability and experience with master data quality analysis and strong leadership skills.

TECHNICAL SKILLS:

Methodologies: PMBOK, Critical Chain/Path, Prince2, Agile Software Methodology, SDLC, Lean Development, Rational Unified Process (RUP), Model Driven (MDA, MDD), Rapid Prototyping, Spiral, Waterfall, Top-Down, Bottom-up, Test-Driven Development (TDD), DAMA Framework, DGI Data Governance Framework

Confidential Tools: Informatica MDM, Informatica Big Data Management, Big Data Quality, Informatica Customer 360, Oracle Data Relationship Manager, Oracle Customer Data Management Cloud, Oracle Product Hub, Oracle Customer Hub, IBM Data Governance, Talend, Cloudera Enterprise, Datum Information Value Management

Enterprise Architecture Frameworks: The Open Group Architecture Framework (TOGAF), Zachman Framework for Enterprise Architectures, California Enterprise Architecture, Software Security Framework

Data Warehouse Design Methodology: Ralph Kimball Dimensional Data Warehouse (Bottom Up), Bill Inmon Enterprise Data Warehouse (Top Down).

PROFESSIONAL EXPERIENCE:

Sr. Lead

Confidential

Responsibilities:

• Responsible for defining, developing, and maintaining strategy and policies that streamline the processes of master data management and the accountability for data quality and its fitness for purpose by internal customers and translates the needs of the business into a pipeline of master data continuous improvement activities and work to advance data governance maturity in a way that’s consistent with industry standards and best practices. Conducting data management maturity assessments and identify pain points for capabilities including data quality, governance, architecture, analytics, metadata management, and master data management. Assess the complete future state governance strategy and roadmaps and define desired future state view of clients Data Governance; including recommendations for business capabilities, organizational adjustments and technical components to support Data Governance utilizing the results of the current state assessment and the proposed future state, while identifying gaps.
• Assessing and enhancing governance roles and responsibilities required to operate and sustain the Data governance ecosystem and defining the operating models for data governance and justify the roadmap by building a strong business case with qualitative and quantitative analysis. Demonstrate a rigorous, and analytical problem-solving approach, leading information gathering sessions and preparing and delivering client presentations and work products/prototypes. Providing thought leadership, frameworks, best practices required to deliver effective data governance solutions and identify Data Governance gaps and assess Data Governance maturity and understand the major use cases that are driving data governance and determine if there are mismatches with the current state and plans. Identify the implications for Data Governance that arise from the technology, current processes, and skill levels and identifying the implications for Data Governance that arise from the types of data being ingested (e.g. structured, semi-structured, unstructured), the volumes, the rate of change, and the number of sources involved.
• Identifying the implications for Data Governance that arise from legal, privacy, contractual, and compliance obligations and address metadata strategy needed for the efficient operation and refining the strategy for Data Governance. Demonstrate a rigorous, and analytical problem-solving approaches to data governance challenges and lead the implementation of support structures for mastering data, including workflows, business rules, standard work, and systems. Build and maintain relationships with data stewards to understand their struggles and understand and close gaps in master data skillset through and leverage an effective and compliant MDM governance strategy; policies, processes, and audits to reduce total cost of master data quality impacts: prevention costs, appraisal costs, and failure costs. Providing criteria that delineates governed master data from locally managed data and facilitate master data governance meetings and empower attendees to identify, prioritize, and select recommendations to address reactive and proactive issues.
• Overseeing the completion of master data governance action items and drive strategic projects to ensure robust master data governance is integrated in their outcome. Overseeing the implementation of master data quality validation mechanisms including manual audits and automation and standardize master data quality metrics and reports. Facilitate understanding and close gaps in master data skillset through and perform assessments of master data governance, make recommendations for improvement, prepare achievable implementation plans, and coordinate implementation of those plans. Build and maintain relationships with a wide variety of internal organizations to understand future data needs and communicate the message of master data governance to the relevant stakeholders across the enterprise.

Sr. Lead

Confidential

Responsibilities:

• Managed engagement to develop frameworks, strategies, and operating models on IT risk management, guided, advised and implemented new policies and procedures through information security, risk management, corporate governance, gap analysis and data mapping to support client in becoming GDPR compliant by the 25 May 2018 deadline. Provided support, advice and guidance to the organization on their data protection obligations and responsibilities. Engaged in tool evaluations from a data management perspective. Participate in code reviews and documentation oversight, data dictionaries including technical, business and operational.
• Developed, promoted and implemented the Data Governance strategy by working with senior management, to ensure alignment of the overall objectives. Maintained attention to the regulatory environment ensuring the enterprise met all regulatory and compliance standards and data quality. Responsible for leading the Data Governance efforts on project teams to integrate within existing architecture and identifying when it’s necessary to modify the technical architecture to accommodate projects needs and target architecture.
• Worked with EU business process owners and functional leads to define privacy requirements and controls for all business programs and projects. Supported the design, development and maintenance of an ongoing awareness program through broader communication and focused for employees and partners. Worked with queries from business areas on their ongoing activities and plans to be GDPR compliant and helping to identify the potential solutions. . Established security controls, identifying permission levels for business and IT custodians roles and permissions.
• Worked with business and technical resources to establish and manage data governance practices. Worked with CIOs, and C-Level executives. Responsible for Data Governance for enterprise-wide strategic projects with data impacts and contributed towards shaping the operating policies and procedures. Facilitated, creation and ownership of Enterprise Data Governance processes according to Industry Leading Practices. Translated Data Governance and Data Quality and related Frameworks and Standards into specific requirements governing the data across all appropriate systems and processes.

Sr. Lead Data Governance

Confidential

Responsibilities:

• Created Data Governance strategy supporting internal Boeing and Airbus fleet’s business areas, including roadmap, initiatives and priorities for identifying/managing engineering and operational data. Supported the GDPR governance set up and adoption for global regions for Business Naming Standards, Standard Entity Definitions, Standard Attribute Definitions and Business Rules and sources of data for the Data Warehouse, Data Security Specification and Data Retention Criteria. Reviewed requirements, specifications and technical design documents and created detailed, comprehensive and well-structured use cases.
• Establishing the Data Governance Office, Data Governance Board and Data Council, its vision and direction. Facilitated and stood up the Data Council, and Governance Board to evaluate project proposals for governance balance to align Data Governance priorities with business partner needs and implement Data Governance roles and responsibilities by collaborating with Business Executives, Data Stewards, Data Owners and Enterprise Architects to establish data lineage.
• Contributed to the development and maintenance of the governance committee structure, policies, procedures, and evaluation mechanisms to deliver requirements, identifying and analyzing problems; drawing logical conclusions; identify alternative solutions; project consequences of proposed actions; developing effective course of action; and implementing recommendations. Served as a change agent and assisted in developing, promoting and executing the strategy for American Airlines’ Agile transformation effectively translating complex data into an easy to understand message.

Sr. Lead

Confidential

Responsibilities:

• Defined Confidential Big Data Enterprise Architecture solutions to combine models from various architecture domains to ensure data standardization that was easily understood. Worked closely with business/IT project teams to identify responsibilities associated with handling big data and how big data changes the traditional concept of information as a corporate asset. Defined Data Governance roadmap by studying the current and future states of technology and business; identifying market and organizational trends; and maintaining awareness of security and regulatory mandates and risks that influenced roadmap decisions.
• Developed and promoted and implemented the MDM strategy by working with senior management, lines of business to ensure alignment of the overall objectives. Maintained attention to the regulatory environment ensuring the enterprise met all regulatory and compliance standards and data quality. Responsible for leading the Master Data Management/Data Governance efforts on project teams to integrate within existing architecture and identifying when it’s necessary to modify the technical architecture to accommodate projects needs and target architecture
• Developed Data Governance architectural descriptions and designs for needed solutions by having a thorough understanding of the business requirements; conducting meetings with stakeholders; analyzing current and potential technical requirements; researching vendor offerings, market trends, and independent analyses; and remaining abreast of the direction of technologies.

Senior Manager

Confidential

Responsibilities:

• Led development of the Data Governance strategy for managing the enterprise information life cycle in an effective manner that encouraged global production and use. Developed, promoted and implemented the Data Governance strategy by working with senior management, to ensure alignment of the overall objectives. Maintained attention to the regulatory environment ensuring the enterprise met all regulatory and compliance standards and data quality. Responsible for leading the Data Governance efforts to integrate within existing MDM architecture and identifying when it’s necessary to modify the technical architecture to accommodate projects needs and target architecture. Data Governance for simplifying regulatory initial investments, enhancing risk management, and capital reserves optimization to increase the efficiency of data governance, speed to value acceleration with multi domain MDM acquisition, and a holistic view to understand the combined companies better. Established and verified compliance with technical architecture standards, processes, principles, and methodologies and Identified appropriate life cycle management of technology tools and platforms.
• Defined the strategy and roadmap for Data Governance alignment with vendor systems. Responsible for leading the internal and external teams in updating and maintaining data as new information was provided, and ensured that regular quality checks on automated update processes were performed providing oversight on data updates when conflicts arise. Responsible for providing service to internal customers, and clearly communicating project status, and planned changes with all stakeholders. Governed implementation of new sources and, ensuring adherence to data modeling and architectural best practices and alignment to re-architected solutions defined match and merge rules and the publication of standards with the effect and impact to consumers, goals and objectives.

Senior Manager

Confidential

Responsibilities:

• Addressed issues of Data Governance, Master Data Definition, metadata acquisition, and data migration including data profiling, validation, remediation, and source to target mapping established data quality and compliance standards to manage and control accuracy, completeness, consistency, integrity, timeliness, and validity. Established the Enterprise Architecture Framework such as data definition and usage, logical data modeling standards, naming conventions, business rules, key metrics standards, hierarchies, data flow diagrams, and data sensitivity and security. Responsible for leading the Enterprise Architecture Council meetings with senior executives for key decisions relating to master data and enterprise data warehousing.
• Established the data management communication plan to provide timely updates for data governance related artifacts. Ensured that data governance and quality standards were fully leveraged by the business and IT owners. Established a Master Tracking Log to audit and track all master data changes. Provided leadership and direction in data quality and data integrity improvement initiatives provided knowledge of enterprise master data strategies and leading practices for educating the organization on MDM related topics. Provided architecture tooling choices and standards for master data and hierarchy management.
• Developed approaches, methodologies, policies, and standards to govern master data. Developed data owner and data steward strategies and defined roadmaps, project plans and steps to implement Data Governance architectures. Worked with business users and SME’s to best determine approaches to satisfy user requirements, gaps and risks analyzed current Master Data business processes and participate in designing future business processes and developed prototype solutions to verify capabilities for new systems development, enhancement, and maintenance of MDM.

Confidential

Responsibilities:

• Provided technical expertise in the area of (e.g., Confidential Framework, Design, Enterprise Architecture, Implementation, System Integration, Software Development Methodologies, and Security Engineering specific to client’s functional areas (e.g., logistics, cyberspace operations, joint operation planning, policy, and business intelligence). Guided the completion of specific programs and projects relating to the subject matter. Provided expert support, analysis, and research into exceptionally complex problems and processes relating to the subject matter. Served as a technical expert on executive-level project teams providing technical direction, interpretation, and alternatives and independently developed technical solutions to complex problems that required the regular use of ingenuity and creativity. Worked with Data Architects, Data Stewards and Data Owners to effectively evaluate impact analysis on potential changes to data definitions, rules and to identify root cause analysis capabilities when responding to a data quality or security failure. Trained Data Stewards to manage their technical metadata and Business Analysts to be responsible for the business-oriented metadata and business glossary integrated with the metadata solution.
• Responsible for addressing issues of master data definition, metadata acquisition, and data migration including data profiling, validation, remediation, and source to target mapping established data quality and compliance standards to manage and control accuracy, completeness, consistency, integrity, timeliness, and validity. Established the Data Governance Framework to establish data definitions and usage, logical data modeling standards, naming convention, business rules, key metrics standards, hierarchy, data flow diagrams, and security. Led Data Governance Council meetings with senior executives for key decision making related to master data and enterprise data warehouse established Data Governance communication plan to provide timely updates and all the data governance related artifacts to the organization

Senior Manager

Confidential

Responsibilities:

• Managed technical projects to deliver leading practices and processes to the client while interfacing with middle and senior-level client personnel to develop business implementation strategies, formulate projects plans, and address specific issues that could arise during the project. Served as the focal point between Oracle product offerings and strategies for execution within the telecommunications vertical was a key part of the leadership team establishing the vision, footprint, market segmentation, and segment subsets and provided input into associated go to market strategies within the Asian telecommunication market, developed and maintained Oracle solution sets to support the strategy. Led business-focused, enterprise-level architecture initiatives for international clients doing business in Hong Kong, Shanghai, Beijing, Thailand, Singapore, and Malaysia. Responsible for managing teams and overseeing projects with cost/financial impact between $25 Million and $60 Million.
• Responsible for developing architecture vision, future state architectures, and implementing architecture roadmaps for key partners using Oracle’s Enterprise Architecture framework, processes and portfolio; analyzed and expressed the value of the solutions to align a business strategy and objectives with an enabling Oracle-based IT architecture and infrastructure.