Enterprise Data Office Job Description
Enterprise Data Office Duties & Responsibilities
To write an effective enterprise data office job description, begin by listing detailed duties, responsibilities and expectations. We have included enterprise data office job description templates that you can modify and use.
Sample responsibilities for this position include:
Enterprise Data Office Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Enterprise Data Office
List any licenses or certifications required by the position: SCRUM
Education for Enterprise Data Office
Typically a job would require a certain level of education.
Employers hiring for the enterprise data office job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Education, Business, Computer Science, Information Technology, Information Systems, Mathematics, Technology, Economics, Statistics, Finance
Skills for Enterprise Data Office
Desired skills for enterprise data office include:
Desired experience for enterprise data office includes:
Enterprise Data Office Examples
Enterprise Data Office Job Description
- Stay current and informed on emerging technologies
- Manage data asset teams supporting Commercial Lines, Claims, Actuarial and Enterprise business functions
- Manage data asset teams supporting Actuarial and Research business functions
- Accountable for meeting the data needs for the business lines, across Invest and Maintenance
- Efficiently manage the delivery and support processes across employees and vendor partners
- Interpret, analyze, and gather additional information related to requirements and specification documentation in order to develop user acceptance test documentation including test plans and detailed test cases
- Develop, document, track, and communicate as needed/requested test summary reports including test plans, test cases, testing results, testing analyses, and unresolved problems
- Conduct and/or represent Enterprise Client Information Services (ECIS) in meetings, including Core Team Meetings, Testing Meetings, Defect Meetings
- Develop/maintain expert knowledge of assigned computer applications, software, host systems, and other related applications, such as third party vendors, operating in the same or integrated environments
- Serve as lead Analyst on assigned projects and corporate projects
- High degree of curiosity and eagerness to learn about the shopping center and retail businesses, and about data, analytics and research
- Proven track record as a results-oriented IT leader that collaborates well with business leaders and manages outcomes holistically and accurately
- 10+ years of building and/or managing large scale data assets
- Proven track record as a results-oriented technology leader that collaborates well with business leaders and manages outcomes holistically and accurately
- Must have Bachelor’s in Computer Science or related field
- Must have 5 years of progressive experience in IT Analyst/Consulting positions performing testing, quality assurance and project management processes and system analysis
Enterprise Data Office Job Description
- Lead and execute the enterprise data governance and quality strategy with recurring milestones and appropriate expectation management with executive sponsors
- Manage a centralized COE for supporting standard Business Intelligence and Analytical platforms and tools
- Partnering with the Data Architecture lead in testing and managing new data technology platforms for use by data science teams
- Work with line of business operations teams in delivering operational reports, and proactively driving strategy on reporting platform, and operational analytics
- Work with chief marketing officer and line of business digital teams in tagging and reporting on key digital assets
- Drive adoption of Master Data Management solutions and capabilities across the Enterprise
- Build 3rd party data hub, and support business strategy to better leverage 3rd party data into business processes
- Participate on the Enterprise Data Office leadership team in executing on organization mission and strategies
- Partnering with the Head of Enterprise Data Strategy to identify and manage priorities for all data management initiatives
- Fostering a collaborative relationship with data leaders, risk leaders and business partners across the enterprise
- Knowledge of program management tools and their capabilities
- Experience with financial budget management
- Highly proficient with Excel, PowerPoint
- Managing and leading onsite / offshore teams
- Project-related test management, planning, design and execution
- Performing analysis, troubleshooting and debugging
Enterprise Data Office Job Description
- Overseeing evaluation of all EDO projects and ensuring the alignment with the data strategy
- Ensuring effective communication practices are established with key partners
- Develop Data Quality framework
- End-to-end data analysis, data issue definition, root cause analysis and remediation
- Support key business initiatives and projects by identifying and recommending appropriate data quality measures / controls
- Develop rollout plan and lead delivery of business reporting, working in collaboration with business and IT teams
- Act as an advocate and subject matter expert to support the implementation of efficient and effective data quality controls and issue management processes
- Provide knowledge and expertise to influence a broader data management culture across the Enterprise
- Work with Business Units to understand data quality pain-points, including tool capabilities and data quality processes
- Help define and manage metrics and KPIs to support business driven meaningful, actionable decisions
- Experience in tracking many projects within a portfolio
- Utilizing Microsoft Team foundation server (TFS), Microsoft Visual Studio or MSVS Team Foundation systems
- Deep knowledge and proven success in designing, developing and deploying analytical models (Data Manipulation, Machine Learning/Predictive Models, Model evaluation, Productionalization)
- Experience working with structured data and unstructured data
- Expert-level experience developing analytical models utilizing the CRISP-DM framework
- Expert-level knowledge of either the R or Python programming languages and meaningful advanced analytics libraries and/or packages
Enterprise Data Office Job Description
- Collaborate with other data management colleagues (e.g., metadata) to help mature Data Management processes
- Provide input to establish, manage and track an Enterprise Metadata Management three year roadmap
- Understand Enterprise Data Office business capabilities, operating models and frameworks and translate those into requirements for the data governance and quality technology platform
- Spearhead working sessions with technical resources and business users, providing thought leadership to clearly articulate business requirements
- Complete information gathering and analysis to define and document detailed business requirements success criteria, test cases, training materials, user guides and other communications
- Quickly learn Informatica Axon functionality and capabilities to become an authority on our team
- Perform validations and testing for implementation
- Enable data governance managers and end users with adoption of the platform
- Assist in the creation and maintenance of a data dictionary/business glossary and other data governance metadata in Informatica Axon
- Assist in defining metadata standards and requirements, auditing metadata quality while maintaining frameworks and standards
- Expert-level presentation and communications skills, and is highly experienced in working closely with senior or executive leaders
- BS in STEM field, preferably Computer Science, Math or Statistics
- Masters Courses in Data Science, Business Analytics Applied Statistics
- At least 6 years of Experience as a Data Scientist and Associate Data Scientist
- Expert-level, diverse portfolio of analytical products that illustrate knowledge and experience in the above areas (Scripting, Analytical Modeling, Visualization .)
- Certified Analytics Professional Certification
Enterprise Data Office Job Description
- Provide input to establish, manage and track an Enterprise Data Quality Management three year roadmap
- Build, maintain, and evolve a set of analytical data assets for the various lines of business, in support of their business strategies
- Build trusted partnerships with various stakeholders
- Ensure portfolio projects are successfully executed and delivered on time, on budget, and with high quality
- Lead and manage approximately 14 agile teams across multiple geographic locations, including Directors, Managers, Scrum Masters, Data Engineers and Business Data Analysts
- Provide leadership, mentoring, and coaching to direct reports
- Create a high performing team that has a culture of continuous learning, collaboration, and is focused on business outcomes
- Successfully manage relationships with multiple vendor partners
- Be a thought leader and organizational change agent who can help foster a data-driven culture while simplifying the data ecosystem and improving the organizational speed-to-insight
- Single point of contact for the Finance organization in managing the EDO financials
- Must have Bachelor’s degree in computer information systems, computer engineering, finance, mathematics, accounting or related field
- Business intelligence and/or ETL programming in various platforms including DB2, Mainframe, and SQL Server
- Applying demonstrated knowledge of BI and Reporting tools to include QlikView, SAS, and SAS Enterprise Guide
- Gathering/analyzing requirements, translating requirements into technical/functional specifications, and testing/validating strategies
- Designing analytical reports and building dashboards to provide visual analytics
- Bachelor’s degree or Master’s degree in relevant field