Enterprise Data Management Job Description

Enterprise Data Management Job Description

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Enterprise data management provides leadership and mentoring to architects in data related areas and in support of data architecture deliverables and alignment with an Enterprise Data Strategy.

Enterprise Data Management Duties & Responsibilities

To write an effective enterprise data management job description, begin by listing detailed duties, responsibilities and expectations. We have included enterprise data management job description templates that you can modify and use.

Sample responsibilities for this position include:

Identify and assesses client needs to determine alignment of unit/corporation business needs and the impact on business processes to establish strategic priorities
Identify, design and partner with I/T to develop systematic solutions in order to mainstream processes, cut costs, accurately process orders, support all business processes
Aggressively drive process improvements within department and influence improvements across the organization as a whole
Works closely with identified business data owner and performs his/her own research to understand the data elements, performs data analysis, and gathers all necessary element attributes including but not limited to business definition, golden source mapping
Profiles data sources using SQL and other data discovery tools in support of data quality analysis and business intelligence design efforts
Oversee additional Data Stewardship activities such as data model reviews, validating business objects, business data, and interface design models
Determines root cause and resolves complex engineering problems collaborating with others
Determine the optimal ways for Master data to be consumed by the appropriate Enterprise applications
Work with business stakeholders and IT teams to identify MDM areas in need of further control and enhancement
Maintain documentation for the MDM and Enterprise Data Quality processes

Enterprise Data Management Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Enterprise Data Management

List any licenses or certifications required by the position: PMP, TOGAF, PMI, ITIL, TQM, CE, SQL, MCSA, SAP, TLS

Education for Enterprise Data Management

Typically a job would require a certain level of education.

Employers hiring for the enterprise data management job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Business, Engineering, Information Systems, Information Technology, Finance, Management, Education, Business/Administration, MBA

Skills for Enterprise Data Management

Desired skills for enterprise data management include:

Data governance practices
Business/ technology issues related to management of enterprise information assets
Approaches related to data protection
Business and technology issues related to management of enterprise information assets
Data architecture and database structure
Industry leading data quality practices
Excel and PowerPoint
General business environment/operation and has general cost benefit awareness
Position-related areas
Remains current with developments and trends in areas of expertise

Desired experience for enterprise data management includes:

Certifications in related technology products a plus (Hyperion/Oracle EPM Suite)
Must have excellent technical problem solving skills, including identifying and addressing performance problems, system defects, hardware issues
Experience with Data Management and PLM software (Vault, SolidWorks PDM, CATiA/ ENOVIA, Windchill, Teamcenter)
Knowledge of content management systems, including knowledge of packaged solutions
Understanding of relational databases, preferably Oracle SQL or MS SQL Server
Knowledge of extensive data mapping exercises and in-depth data analyst activities

Enterprise Data Management Examples

1

Enterprise Data Management Job Description

Job Description Example
Our growing company is looking for an enterprise data management. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for enterprise data management
  • Manages change control and resolves or escalates issues with management in assigned functional area
  • Assisting in the development of client bids
  • A key member of the data analysis team and be able to breakdown data problems into parts that can be resolved
  • Evaluate data management, data quality and data access processes for gaps, inefficiencies and opportunities
  • Manage TIM’s Enterprise Data Management and Analytics (EDMA) team
  • Defines and articulates systems/data needs of business and acts as intermediary between data consumers and IT
  • Builds strong strategic relationships with key vendors and internal business partners
  • Partner with business units to understand critical issues and devise, develop, and implement credible and sustainable solutions
  • Responsible for developing goals and objectives for staff
  • Identify opportunities with the business to improve their data management processes such as automation of manual processes, creation of new processes where, and streamlining existing processes
Qualifications for enterprise data management
  • Requires strong analytical, organizational and problem solving skills strong interpersonal skills with the ability to work with management, peers, and IT staff
  • Previous experience with MDM implementation or maintenance is required
  • Knowledge of Master Data Management concepts and techniques including modeling, data loads, data lineage, metadata and Master data usage
  • Experience with Informatica products (PowerCenter, Data Director, Data Quality, Metadata Manager) is highly desirable
  • Very strong SQL Skills preferred
  • In-depth understanding of best practice data management techniques
2

Enterprise Data Management Job Description

Job Description Example
Our innovative and growing company is looking to fill the role of enterprise data management. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for enterprise data management
  • Design and create APIs to integrate data management sources
  • Collaborate with stakeholders and business partners on technical design to ensure integrated end-to-end solution
  • Document design decisions and ensuring adherences to policy
  • Document metadata and monitor data quality to ensure robust data management practices
  • Provide direct customer support through requirements sessions and technical capability demos
  • Oversee the collection, storage, maintenance and distribution of all shared services data and data solutions
  • Establish functional strategic goals for improving operations, products and services
  • Manage, mentor, and evaluate performance of Data Management staff including setting-up goals and objectives, conducting performance evaluations, and providing staff with guidance on technical/project related issues individual development plans
  • Identify opportunities and work with business stakeholders and partners to embed data management practices into our daily operations and business processes across the organization
  • Use analytical skills to conduct Risk Process Assessment and Improvement, Data Process Design & Process Excellence
Qualifications for enterprise data management
  • Experience as a Security Master working with Global Repository or Reference Data
  • 3 years of data analysis experience including building SQL, queries, and common/standard use of data analysis tools (i.e., Dataflux, TOAD, DB2, Access, Excel including macros, SAS)
  • Financial Industry Services highly preferred
  • Experience working with Global Repository or Reference Data
  • Must have good business analysis skills
  • Understanding of major BAC applications and organizations
3

Enterprise Data Management Job Description

Job Description Example
Our company is searching for experienced candidates for the position of enterprise data management. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for enterprise data management
  • Collaborate within EDM and with our Partners on areas of metadata management, data quality management and data stewardship functions
  • Work with partners to improve adoption and user experience of data management tools in emerging platforms of Cloud and on-prem Hadoop
  • Perform 2nd line of defense assessment of risk and compliance with data management practices and processes
  • Identify appropriate data quality checks and ensure data quality enforcement is integral to the design
  • Liaises among stakeholders to elicit, analyze, communicate, validate and document requirements for new and/or changes to business processes, policies and information systems
  • Facilitates relationships and translates business needs into technology solutions
  • Set requirement baselines upon obtaining requirements package sign-off and support requirements change management, analyze impact and obtain change sign-off throughout Technology Delivery Life Cycle (TDLC) framework
  • Familiar with data analysis and has extensive experience with data mapping documentation
  • Interface with Business Partners, Technical resources
  • Works within Operational Excellence COE business analysis standards and participates in continuous improvement efforts
Qualifications for enterprise data management
  • In this entry-level position, you will be integrated into a project team from the start
  • Exposure to detailed technical development with Reporting and Data Integration tools – Oracle Business Intelligence, Oracle Data Integrator
  • Ability to recommend EDMprocesses, governance, organisational and platform models, tool selections, andapplication integration options to clients
  • Experience with one ormore EDM toolsets such as OpenText, IBM FileNet, Microsoft SharePoint, EMCDocumentum and Oracle WebCenter Suite
  • Ability to configure EDMtechnologies and/or system administration capability
  • Degree in Banking, Computer Science or Engineering-related field with at least 8 to 10 years' relevant experience in project management and data analysis in financial services industry
4

Enterprise Data Management Job Description

Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of enterprise data management. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for enterprise data management
  • Participate in the coding of the application
  • Participate in the code review
  • Improve development best practices
  • Participate in support activity
  • Experience with Agile work environment
  • Able to decompose development activities into detail components
  • Ensure enterprise data ingestion/movement platforms are standardized, optimized, available, reliable, consistent, accessible and secure to support business and technology needs
  • Leverage open source and vendor based products to drive scalability and efficiencies throughout the data pipeline life cycle
  • Translate and ensure enterprise and industry security requirements are adhered to especially around the usage and protection of data
  • Maintaining all workflow groups (ex US), making amendments as necessary while maintaining spreadsheets detailing the current setup
Qualifications for enterprise data management
  • Undergraduate degree, preferably in Information Systems and/or Finance
  • 5+ years' experience in data management, data governance and analytics
  • Experience at a financial services firm
  • Experience working with a variety of data and system vendors
  • Knowledge of Data Management technology at a senior level, including data warehousing, data lake and data reservoir
  • Requires excellent communication and consultative skills seasoned judgment, tact and the ability to work effectively with clients and other IT management managerial personnel
5

Enterprise Data Management Job Description

Job Description Example
Our company is searching for experienced candidates for the position of enterprise data management. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for enterprise data management
  • Coordinates staff work effort by monitoring workload demand against current output to forecast staffing needs
  • Assists the manager as it relates to business processes, utilizations of various applications and developmental goals and standards
  • Helps monitors integrity of data to meet customer needs so the tools can be utilized to their potential
  • Measures individual productivity against department standards and keeps manager apprised of any workflow problems or concerns
  • Monitors tools and other reporting to ensure service level agreements are met
  • Coordinates multiple projects, functions and/or resources on a daily basis
  • Assists the manager regarding the analysis of alternatives to deliver the best customer service across the organization
  • Resolves data or system problems and frequently communicates with corporate merchandising and marketing, regions, retail banner offices, stores and vendors for clarification of item information and to problem solve as needed
  • Conduct regular meetings/working sessions with the key business stakeholders to facilitate implementations /define requirements while upholding the EVEREST design
  • Conduct / participate in meetings with EDM implementation team to ensure activities are on track
Qualifications for enterprise data management
  • 5+ years of relatable data experience
  • At least 2 years of data and business analysis experience
  • 3+ years of professional data and business analysis experience
  • 1+ years of data risk analysis experience
  • 1+ years of experience with APIs
  • 1+ years of Java, Python, or Spark experience

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