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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data management strategies, including data integration, governance, and analytics. Proficient in developing data solutions and frameworks that support business objectives and enhance decision-making processes.
Highest-signal resume keywords
Data Management StrategyData Integration SolutionsAgile Tooling IntegrationData Analysis and ReportingMentoring and Coaching
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data WarehousingETL ProcessesData MappingData ProfilingData ModelingData WranglingData ArchitectureData Quality StandardsBig Data SolutionsAnalytical Software Tools
Soft Skills
Analytical SkillsProblem SolvingEffective CommunicationCollaborationJudgment and Decision Making
Tools & Technologies
MS OfficeVisualization ToolsAgile ToolingTD ToolingData Analysis Methods
Certifications & Qualifications
Undergraduate DegreeTechnical Certificate
Industry Keywords
Data GovernanceInformation ManagementData LifecycleMarket TrendsRisk Management
Tech Stack
Tools & technologiesETL
About the role
Key responsibilities & impact- Provide specialized support for US consumer data management strategy
- Integrate Agile tooling with other sources to improve intake processes, workflow automation, management reporting, and training
- Design and optimize workflows and dashboards
- Develop management insights and maintain the data management roadmap
- Translate strategic priorities into executable plans
- Partner with business, data, and technology teams to strengthen governance and standardize data management practices
- Analyze, design, and develop data repositories, warehouses, marts, data movement, data wrangling, data mapping, and ETL processes
- Support data solutions, applications, platforms, and tools used across functional groups
- Develop data preparation frameworks and architecture for Data Scientists
- Support data modeling capabilities and structure business data for varied uses
- Support business teams in using and understanding data and reporting solutions
- Develop data roadmaps, information management strategies, and technical solutions for integrating, transforming, and managing data
- Drive complex data integration solution development
- Adopt the Enterprise Data model in alignment with OCDO and data and analytics groups
- Gather and analyze requirements to enable information management solutions
- Develop business solutions including data models, business rules, lifecycle management, governance, lineage, metadata, and reporting elements
- Apply automation and innovation on data platforms and development initiatives
- Design and implement complex business data information management frameworks
- Collaborate with technology and business partners to resolve issues and meet SLAs
- Provide analysis and requirements for data design and development initiatives
- Develop business data requirements through research, analysis, and documentation
- Provide expert guidance for data impact assessments and risk mitigation
- Implement data management standards and data quality rules, thresholds, and assessments
- Maintain knowledge of upstream data sources and platform data
- Identify critical data elements supporting governance and data management frameworks
- Ensure data retention and disposal comply with enterprise standards and policies
- Perform data profiling using TD tooling and ad hoc query languages
- Support users throughout the data lifecycle and help interpret data
- Lead root-cause investigations and resolve data issues
- Define knowledge-transfer and data-expertise activities
- Participate in cross-functional and enterprise initiatives as a data subject matter expert
- Conduct functional or enterprise-level analysis and make recommendations
- Monitor emerging issues, trends, and regulatory requirements
- Maintain risk management and control practices
- Mentor colleagues and contribute to team development
Requirements
What you’ll need- Undergraduate degree or Technical Certificate
- 7+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background
- Advanced knowledge of various data sources, tools and technologies used in preparing summaries and reports
- Analytical and problem solving skills required to interpret data and draw conclusions
- Knowledge of current and emerging competitor and market trends
- Skill in using analytical software tools, data analysis methods and reporting techniques
- Skill in mentoring/coaching others
- Skill in using computer applications including MS Office
- Ability to communicate effectively in both oral and written form
- Ability to work collaboratively and build relationships
- Ability to work successfully as a member of a team and independently
- Ability to exercise sound judgement in making decisions
- Ability to analyze, organize and prioritize work while meeting multiple deadlines
- Ability to handle confidential information with discretion
- Ability to contribute to strategic direction and provide advice to senior leadership
- Experience with big data solutions and familiarity with big data technologies
- Familiarity with visualization tools
- Fluent in multiple programming languages
- Experience designing, configuring, and integrating Agile tooling with other sources is preferred
- Ability to lead through ambiguity and focus on multiple deliverables is preferred
Benefits
Comp & perks- Variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards
- Health and well-being benefits
- Savings and retirement programs
- Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO
- Banking benefits and discounts
- Career development
- Reward and recognition
- Regular career, development, and performance conversations
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Remote work arrangement
- Occasional domestic travel