Involved in Debugging and Resolving critical problems. Contribute to the overall strategy and manage complex issues within functional area of expertise, Develop overall strategic technical plan and create architecture proposals based on identified solution gaps. Assist Management in Business Case Development and Scenario Planning leading to an effective decision making process. Ability to translate broader business initiatives into clear “team objectives” and concrete individual goals, aligning appropriately with other groups for efficient, coordinated action, Strong Knowledge of relational SQL databases and SQL – in at least one of the following environments: Oracle or Microsoft SQL Server, Expertise in ETL (including SSIS and SSRS). Create a Resume in Minutes with Professional Resume Templates. Currently, working on RFP for BI Reporting and Analytics platform tools acquisition. May be asked to coach, mentor, or train others and teach coursework as subject matter expert. Lead day to day system development and maintenance activities of the team to meet service level agreements (SLAs). Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. “Data Architecture is the physical implementation of the Business Strategy,” said Nigel Turner, Principal Consultant in E.M.E.A. The Data Governance Institute defines data governance as "a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, un… It’s actually very simple. Collaborate with business and technical partners to identify and scope the opportunities, outline potential value and ROI, identify risks, benefits and constraints. • Ensure alignment of the data governance processes and standards with applicable enterprise, business segment, and local data support models. Sr. Data Governance Manager Resume Profile. The position will focus on establishing and ensuri… In the IT industry, opinions differ as to what constitutes data governance and what this term really means. LinkedIn: https://www.linkedin.com/in/niteshmohanlal. Stealthbits believes the security of your data is more than just understanding who has access to it. Enterprise data management involves several components, including: Data Governance – Data governance refers to the policies and processes used to ensure the integrity, quality, and security of data. Involved in the complete life cycle of the product which involved gathering requirements, coding in C# and .NET 2.0, unit & regression testing and documentation, Technical Lead on RPM Rebranding Project. Identify and analyze source data (both internal and external) that is necessary to fulfill business intelligence needs; Analyze information to evaluate the effectiveness of controls, determine the accuracy of reports, and monitor the efficiency and security of operations, Design conceptual/logical/physical entity relationship and/or relational models for an ODS, and multidimensional models for an EDW that implements flexible reporting capability in the context of one or more reporting toolsets, Work closely with database administration, ETL, and BI development staff to optimize overall design at an enterprise level; Work closely with data stewards to create and maintain records on all data sources used for reporting which may include a data model, associated meta model, common business vocabulary, ontologies and taxonomies, Must communicate clearly to both technical and non-technical audiences, Technical training or related experience in multi-dimensional modeling and data mining/warehousing techniques, Related and relevant experience may be considered in lieu of academic requirements. Involved in the full life-cycle development of the application i.e. Has developed very good facilitation, negotiation, and presentation skills, Experience in proposal writing and business case development including a thorough understanding of ROI, cost/benefit, and TCO, Provide multi-dimensional modeling expertise and leadership by designing data structures to support the growth and improved reporting functionality of the EDW, Guide the development and maintenance of data standards, policies and practices; Guide the design of the data models, in alignment with the solution architecture, to ensure audit-ability of information assets, Analyze and understand enterprise reporting needs across the organization. Create solution definition and solution architecture. Played a key role in design & architecture for the following projects: oData migration from CRM to ODS and vice-versa. - Choose from 15 Leading Templates. Some of these aspects include shared business accountability, sponsorship, and attitude towards data governance, knowledge and tendency to embrace changes. Semarchy's Michael Hiskey offers some perspective. Defined data strategy for the enterprise. In future state, this will be the central source of data comprised of numerous data sources, including data from the ERP, CRM and numerous other sources, Integrate and blend data from existing systems, including SAP, MS Dynamics, Hyperion, and Workday. Intergraph is a fully owned company of Intergraph Corporation, Huntsville, AL, U.S.A. Implemented existing Print Engine functionality in the software to support Print Preview, Grouping, Header, and Footer for the reporting module. Working closely with Business to identify key use cases for benefit realization/ROI for various platform acquisitions for BI. Received Aflac Way Honors from BU for the successfully implementing hierarchy in CIS. Designed effective Gate Keeper Logic for solving the CIS Hierarchy issues in CIS. Technical Environment: VC++, MFC 7.0, C++, GUI, DB2 UDB, SQL and Microsoft Visual Source Safe on Windows NT/2000, CLIENT: CATERPILLAR, INC., Peoria, IL April 1998 – Oct. 2000. ", Bachelor’s degree in computer science, information systems or engineering or equivalent technology domain experience, 7+ years of experience in designing/leading the conceptual, logical and physical design for distributed databases (OLAP, OLTP), 3+ years of experience in driving the Meta data architecture and master data management (MDM) solutions, 4+ years of experience in performing analysis and high-level design for data management projects, Experience with SQL Server, SSIS, Cognos, Embarcaderos ER Studio, Toad, data profiling analysis and migrations, Metadata Repositories, Microsoft Office Suite, Strong understanding of activities within primary discipline such as master Data management (MDM) and Data Governance (DG), Consistently demonstrate strong experience in Conceptual, Logical, and Physical Database architectures, design patterns, best practices, and programming techniques around relational modeling, dimensional modeling and data integration, Contribute significantly to enterprise data architecture strategy, vision, roadmap, and standards to meet business objectives, Analyze and document the current data architecture state, be a major contributor to the desired future state and create roadmaps to bridge the gaps, along with the rest of the architecture team, Actively improve efficiency of data distribution and integration, according to a unified data management strategy, Consult with other architects and project team members define and validate data architectures across a wide variety of projects and systems, Create, maintain, and publish enterprise reference data architectures with appropriate level of detail, Develop standard patterns and practices that encompass technology selection and adoption, data architecture, data management and data distribution, to be advocated by the architecture team, Asses risk and opportunities for improvement in the landscape, and make concrete recommendations for implementation, Document the data ecosystem including: existing systems, platforms and solutions, Participate as a key member of the Architecture Team, Review project technical planning, data solution design, and data practices for alignment with standard practices and long-term strategy, Demonstrated ability to conceive and execute end-to-end vision, and to see how a logical learning analytics design will translate into one or more physical databases, and how the data will flow through the successive stages of stakeholder access, Evidence of skill in problem solving with the ability to apply strong critical and logical analysis to business scenarios in the context of technology and data architecture, Experience in performing complex analysis of customer data using company provided tools and systems, Evidence of effective verbal and written communication skills and the ability to clearly articulate to all project members and stakeholders, Demonstrated ability to work well with technical and non-technical resources, Demonstrated ability to stimulate changes in individual, institutional, and corporate behaviors to create a more sustainable environment, Experience in leading by example in communicating, participating and encouraging support of the institution’s sustainability programs, Experience in SQL, Data Modeling, PowerCenter, Erwin, UML, PL/SQL, Oracle DBA, XML, XML Schema, XSD, XSLT/XPath, Demonstrated understanding of Business Intelligence solutions, Collaborate with senior leadership to develop and execute enterprise data strategy, including the architecture and development of master and reference data management capabilities, Provide architectural leadership in shaping strategic, business technology projects, with an emphasis on application architecture. The Decision Sciences and Transformation (DSaT) department is seeking a highly motivated supervisor to join the Enterprise Data Governance Team. Awarded Gold Medal for standing first in the College. Will you join us in 2021? Responsible for mentoring junior developers and analysts on any issues related to coding or design. Drive enterprise best practices, principles and standards, Ability to analyze large scale data to identify new analytics, insights, trends and relationships, Experienced in selling and building Information Governance practices and processes across Fortune 500 companies, Expert knowledge around designing and leading Enterprise Data Warehouse, data mart, and BI solutions, Prior experience working with data modeling repository server environment and maintaining model versions/model objects which may be common to several distinct application development efforts, Excellent SQL skills and demonstrated ability to write complex SQL for purposes of analyzing data and/or evaluating how information needs might be translated into back end database structures, Experience with a wide range of Big Data applications and architectures, Hands-on experience with IBM PureData System for Operational Analytics, Certifications in Enterprise Architecture frameworks (i.e. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary, Minimum Bachelor’s Degree in Computer Science, Information Technology or related field, or HS Diploma and 6 years experience in technology field; advanced degree preferred, Minimum 5 years experience in enterprise data architecture and data engineering, Required licensures, professional certifications, and/or Board certifications as applicable, Experience in healthcare industry preferred, Experience in an intensely data-driven environment, Extensive knowledge of Master Data Management (MDM) systems & Information Lifecycle Management (ILM), Experience with large enterprise data warehouse architecture design including logical and physical model development, Demonstrated experience with enterprise architecture involving high volume transactional systems, integration, middleware services, application service layers and user experience, Knowledge and experience in Data Governance & understanding of domain data models and enterprise data models, Knowledge of industry standard Enterprise Architecture Frameworks, (e.g. The role supports the Head of Enterprise Data Governance and Quality in defining and operationalising the long-term vision, strategy and objectives for data governance across the Group that are in line with the Bank`s business strategy and objectives. architectures, Lead the team of Integration Product Architects to drive enterprise information and integration strategy and architecture deliverables, Steward of Integration and Information standards and design patterns, Identify, develop, and manage information and integration architecture patterns and reference architecture for the enterprise, Participate in architecture governance activities. Architect/Technical Lead for Benchmark Factory product. Ensure standards are current, approved, fit for purpose, and evangelized across the organization, Provide technical and strategic leadership in all Data Architecture subject areas. Responsible for creation and implementation of various new controls using C++ language. Connect data from additional disparate sources into a logical structure for consumption by end-users and BI tools, Architect creative solutions to enable data discovery, self-service, enterprise level dashboards and reports, Translate and define business requirements into a technical architectural vision and implementation plan, Define data model strategies and develop logical and physical data models and data marts, Continually review technical environments, hardware, and software strategies to identify gaps, challenge assumptions and status quo, and develop ongoing solutions, Serve as the subject matter expert on data warehouse, ETL, and data modeling, Build data warehouse and data marts based on appropriate methodologies, document, and train organization, Develop strong understanding of LORD’s data and source systems, and build appropriate solutions that fulfill end users analytical needs, Create and maintain data dictionaries, report glossaries, and all supporting documentation, Lead and manage projects and project teams from ideation through execution in a structured manner to complete projects on time and on budget, Socialize current and ongoing projects, including appropriate training/procedure manuals for end-users, Lead a team of developers and mentor junior team members, Specifies and provides ownership of reusable application components or reusable application code, Sets Data Policy and the technical solution for the management, storage, access, navigation, movement, and transformation of data, Elicit requirements and translate the requirements into models by building conceptual, logical and physical data models, Employee is required to accurately track work time based on project and /or daily work activities according to IT department guidelines, 5 or more years focusing on Data Architecture or Analytics based design and delivery, Desire to define and shape a Data Architecture practice within an established firm, ensuring the company is ready for the Analytics/Big Data era, Someone who can build strong relationships and influence others to adopt best practices, giving compelling reasoning and benefits of doing so, To define, manage and maintain the Data Model for Aurora product architectures, To define and help govern the master data strategy for Aurora product architectures, To work with the Analytics group, and other Product groups, to ensure there is a holistic approach to data capture, organization, and analysis, To help us lead the way in data science, defining architectures that help us create the best recommendation engines based on the data we collect, Author and sometimes peer-review Architecture Strategy Roadmaps (ASR), Product Architecture Documents, and Solution Designs for Products, Author and sometimes peer-review Solution Technology Roadmaps for Customers, Participate in select Customer RFP, Sales and Project work as needed to further our position in the Data Architecture and Analytics space, Guide Development Teams in implementing architectural designs, Create and maintain the ASR and Technology Roadmap for Analytics solutions together with the Analytics product group, Support product management for assessing market needs and impact to the products, Support delivery for existing commitments and deliverables for assigned components, Demonstrates knowledge of data analysis and data modeling techniques and ability to use one of the industry leading database modeling/database design tools, Demonstrates in-depth knowledge of various database technologies, Maintains data models and data dictionaries in repository for all Products, Defines and maintains data naming standards and conventions, Researches, defines, presents and recommends database designs and/or alternative strategies, Assists team in determining customer data requirements and assists development team in providing database solutions, Analyzes data requirements, application and processing architectures, data dictionaries and database schema(s), and then amends, optimizes, and certifies database schema design to meet system(s) requirements, Serves as the resident expert in efficient data retrieval and manipulation, interface techniques, DBMS APIs, and DBMS Development Tools. Successfully created RFP’s for MDM and Data Warehouse platforms. from the data architecture, standards, and quality perspective, Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality, Collaborate with project managers and business unit leaders for all projects involving enterprise data, Act as a leader and advocate of data management, including coaching, training, and career development to staff, Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture, Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture, Identify and develop opportunities for data reuse, migration, or retirement, Analyze and mine business data to identify patterns and correlations among the various data points, Develop integration process data flows and data mapping analyses, Bachelor’s Degree in Computer Science, Information Systems or Business Administration, 7or more years of data or information architecture experience, preferably in a education environment, 5 years of work experience with data architecting, large-scale data modeling, and business requirements gathering/analysis, Strong understanding of relational, dimensional and object-oriented data structures, theories, principles, and practices, Strong familiarity with master data and metadata management and associated processes, Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping, tools, data profiling tools, and data and information system life cycle methodologies, Experience with Oracle ODI, Oracle Profiling and data quality, Technical leadership and mentoring skills, Experience with dimensional modeling and architecture experience implementing proper data structures for analytical reporting from an enterprise data warehouse, Review and assess development design to ensure robustness, adherence to standards and processes, delivery of stable and scalable solutions, and that risk mitigation and controls are in place, Collaborate with teams concerned with development, networking and/or project management to coordinate changes and support enterprise technology initiatives, Identify core common data shared across the enterprise and participate in enterprise wide efforts to reach common understanding of those data, Confer with business units and application development staff to understand both the business and technical requirements and to define architectural constraints, 4-6 years of experience with solution architecture and solution experience across multiple architecture domains such as business, data, integration, and application, 4-6 years of experience with data integration patterns and integration of data & business architectures, 3+ years of experience in business process design, business events derivation and associated data objects and entity modeling, 3+ years of hands-on experience in enterprise data architecture strategy, methodology and standards that delivers enterprise data model, associated meta model, common business vocabulary and taxonomies, Hands on experience in applying future state data architecture/design concepts such as Data Lake and Big Data, Exposure to large-scale/enterprise-level data centric projects is a must, Good understanding of data modeling across relational, star/dimensional or other emerging approaches, In-depth understanding of RDBMS systems and Database Appliances (such as Oracle), Bachelor's degree in Computer Science, Computer Engineering or Electrical Engineering from an accredited university or college, Possess an understanding of connected vehicle functions, interfaces, technologies, development tools and processes, operations, and business strategies and models, Plan and have the ability to communicate technical matters with passion and conviction about the short and long term objectives of the Global Uconnect architecture, Must be comfortable and capable to communicate "up, down, and across" all functions, roles, and levels within and outside of the Uconnect service delivery team, Be proficient in data driven decision processes and have knowledge of measurement techniques such as machine learning, statistics, design of experiments, DFMEA, PFMEA, etc, Proficiency in process modeling, process ownership, and process documentation to enable continuous improvement in efficiency and speed to market of the Global Uconnect architecture, Participates and leads the creation and maintenance of data models, Leads proof of concept evaluations, vendor and product selection for data management technologies, Participates and leads the creation Big Data and Predictive Analytics strategy and governance, At least 10 years of progressively responsible job-related experience, with minimum of 6 years related to data management, At least 3 years experience with SAP HANA modeling, At least 5 years experience with SAP source systems, Bachelor's degree or equivalent experience, Master preferred, Demonstrated experience in design and implementation of an enterprise data model, metadata solution and data management solution, Strong leadership, communication and influencing skills, Prior exposure to data modeling tools like Erwin/Power Designer, Expertise with Cloud vendors like Azure or AWS, Have sound knowledge of semiconductor manufacturing industry domain is a strong plus, Develops specific metrics for data quality and consistency, Minimum of Bachelor’s Degree (Computer Science, Mathematics, Statistics), Proven strong negotiating and consensus building abilities, Leading work in enterprise data architecture, data strategy development and direction, Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, Systems Analysis or a related field. Worked extensively in the GIS Application Software development using client-server technology. This in-depth educational program is dedicated to teaching anyone working with data to build, manage, and improve their Data Governance strategies. Informatica, the world’s No. The role maser data management in data governance 10. - Instantly download in PDF format or share a custom link. Worked on Product Link System, a database application for Windows NT/9x extensively developed using VC++ 5.0/6.0, MFC, C++, ODBC, UML, Crystal Reports 8.0 and Install Shield in a client-server environment. Zachman, TOGAF, DODAF) highly preferred, Communication (written, verbal and listening), organizational, planning, and presentation skills, Ability to create the conceptual solution design from a high level to solve business problems, Work with the business analysts to understand requirements and informational needs, Engage with the functional SMEs to understand the data entities and sources, their relational and hierarchical dependencies, and their business context, Ensure all designs are modelled using the appropriate industry techniques (Kimball, Inmon) and approaches (dimensional / OLAP, normalized), Apply detailed design principles (such as 3NF, surrogate keys, fact less fact tables and slowly changing dimensions) where appropriate, Maintain effective working relationships with Project Managers, Business Analysts and DBAs, Observe and integrate security and access constraints / considerations into the design, Identify appropriate data quality checks and ensure data quality enforcement is integral to the design (e.g. Led the implementation, design and development (one full lifecycle) of Master Data Management (MDM) systems using Profisee Maestro. Enterprise Data Governance Online is a free online event hosted by DATAVERSITY. Proven track record to drive rapid prototyping and design for new projects and analytic R&D environments. Make presentations to the Management, Business Owners and other Stakeholders, Assist in examining commercially available and forthcoming industry technologies related to area of expertise. A look at a data governance maturity model 9. Designed and Developed GUI for various products. Enterprise Data Architect Resume Examples & Samples Interprets business strategy and develops organizational objectives to align with this strategy. AFLAC, Columbus, GA January 2015 - Present. A strategic minded visionary and action oriented Information Technology leader with over 18 years of proven track record on enterprise information management (EIM), master data management(MDM), data governance, business intelligence (BI), analytics, application development & architecture and strategic planning. Enterprise data governance refers to the high-level handling and management of business data. Participated in developing proof of concepts for Informatica and IBM MDM tools and created POC scoring and selection process sheets. Profile: OpenStreetMap 6. What can data governance do for your enterprise, and how can you improve your data governance program? Support project architects, enterprise architects, and solution architects across the organization for Data Management and Data Architecture capabilities. Work directly with the Business Units to identify their needs. Follows all Bank policies and procedures and compliance regulations, and completes all required annual required or job-specific training. In 2020, thousands of professionals from around the world participated in this event.