Job Summary: 

• Own the design, development, implementation, and maintenance of sophisticated data systems and solutions. 
• Build and manage a long-term data roadmap to enable innovative reporting, business intelligence, analytics, and data science capabilities.
• Supervise and mentor the development team in the support and development of the data warehouse environment, analytical data ecosystem, associated ETL processes, and reporting environment.
• Evaluate and recommend new technologies for data processing, storage, and analytics.
• Work with IT teams, business leaders, business analysts, and analytics teams to understand data consumers’ needs and develop solutions.
• Collaborate with end users to define the scope of business needs and translate processes from detailed functional requirements to technical design specifications.
• Define and manage standards, guidelines, and processes to ensure data quality.
• Coordinate the development of the logical and physical data models, ETL processes, metadata definitions and models, queries and reports, work processes, and maintenance procedures
• Establish technical standards and balanced processes for the analytical data environment.
• Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the group
• Maintains and troubleshoots Data Solutions built databases and data tools
• Directs the operation of the Data Solutions team with a focus on client solutions and data management

Skills on Resume: 

• Data Design (Hard Skills)
• Roadmap Development (Hard Skills)
• Team Mentoring (Soft Skills)
• Technology Evaluation (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Quality Management (Hard Skills)
• ETL Coordination (Hard Skills)
• Architecture Simplification (Hard Skills)

Job Summary: 

• Identify internal data assets located in various programs across the organization, drive collaboration between functions, stakeholders, project/program managers, and other IT teams to turn data into analytic solutions that are congruent, reliable, and can be used to deliver unique insights
• Conduct statistical analysis to establish the validity of existing data, identify gaps in current data assets, contribute recommendations on opportunities to expand data availability
• Participate in discovery processes with stakeholders to define analytic needs and develop solutions accordingly. 
• Identify innovative and effective options to close analytics gaps indicated by the market
• Define specific use cases and development resource needs for new data intelligence offerings
• Contribute to business plans by helping to define market opportunity for intelligence products, and a multi-year plan to deliver offerings in the market
• Conduct statistical analysis to produce insights for pilot opportunities. 
• Package analytics into concise and commercially relevant findings, present information and serve as subject matter expert on analytic results and capabilities
• Work with data stakeholders internally to ensure that the information complies with governance and security policies
• Contribute to defining Surescripts data intelligence value proposition, including conducting and maintaining research on other intelligence solutions and how they compare
• Defines solution space and proposes innovative and actionable solutions.
• Ensures custom data applications and projects meet customer requirements and expectations while aligning with operational constraints
• Conceptualizes client issues and leverages previous experience & research to imagine and design solutions that prioritize user experience

Skills on Resume: 

• Data Asset Identification (Hard Skills)
• Statistical Analysis (Hard Skills)
• Stakeholder Discovery (Soft Skills)
• Analytics Gap Closure (Hard Skills)
• Use Case Definition (Hard Skills)
• Market Opportunity Assessment (Hard Skills)
• Findings Presentation (Soft Skills)
• Solution Proposal (Hard Skills)

Job Summary: 

• Manages team primarily tasked with architecting, building, releasing, & maintaining relational HR data systems and applications for cross-functional HR teams.
• Builds data solutions, spanning data collection, storage, and delivery that joins the HR System of Record with offline data. 
• Builds and releases data applications that support and integrate into HR business processes.
• Utilizes MS Office 365 applications and data repositories for the creation and delivery of data tools. 
• Drives adoption of Office 365 automation and application interoperability within HR organization.
• Identifies internal data assets located in various data repositories across the organization, conducts analyses to establish validity of existing data, identifies gaps in current data assets, and delivers recommendations on opportunities and tools to expand data availability.
• Serves as the primary point of contact for HR data product stakeholders, manages relationships, and assesses business needs to prioritize the design, development, and continuous improvement of HR data products and solutions.
• Leads or participates in discovery processes with stakeholders to define HR data needs and develop solutions. 
• Continuously explore new tools, techniques, and work models to improve design, increase data integration and imagine potential opportunities for improvement in data delivery (Automation/Optimization)
• Utilizes diverse set of experiences to ensure the Data Solutions team has access to and develops technical expertise on the most current applications, systems and data delivery tools available and creates efficient and sustainable processes and impactful products.

Skills on Resume: 

• HR Data Architecture (Hard Skills)
• Data Solution Development (Hard Skills)
• MS Office 365 Utilization (Hard Skills)
• Data Asset Analysis (Hard Skills)
• Stakeholder Relationship Management (Soft Skills)
• HR Data Discovery (Soft Skills)
• Process Improvement (Hard Skills)
• Technical Expertise Development (Hard Skills)

Job Summary: 

• Be a Data Owner and own data product management for the company, collect and understand all data requirements for the business and manage data-related projects/products
• Work directly with core engineering and product to deploy commercial and technical data solutions that enable the company to achieve its goals
• Generate technical data mapping with engineering leadership, understanding technical stack, creating the data roadmap, and establishing a cadence of interface
• Utilize dashboarding and data to understand the liquidity flow of TL and partner success --automated where possible
• Act as a coach for the BI team, assisting in BI initiatives whenever necessary
• Pair with product and core engineering teams to ensure all relevant data initiatives are executed
• Build, lead, and mentor a team of BI engineers in their deployments
• Provide feedback to the org lead in creating the most productive environment for the group
• Serve as a center of excellence and knowledge hub for the global and local markets agencies that rely on this DMS
• Be part of the governance process in major campaigns across key client markets, proposing technical and creative solutions to meet campaign and data orchestration requirement
• Work in partnership with the strategy and buying teams to develop data and audience strategies for campaigns that can be executed across multiple digital platforms as part of a holistic campaign
• Build relationships with client organizations to ensure we can deliver strong relevant solutions to their business needs, across central, regional and local elements of the organization
• Design and execute tests of new DMS use cases and audience segments in support of display, paid search & social campaigns, monitor performance mid-flight and provide pre and post-insight reports to the OMD media and central client teams
• Troubleshoot and fix data collection and system-to-system integration problems, serve as project manager on new data ingestion opportunities as well as feature request and platform enhancements

Skills on Resume: 

• Product Management (Hard Skills)
• Data Mapping (Hard Skills)
• Flow Analysis (Hard Skills)
• Team Coaching (Soft Skills)
• Team Leadership (Soft Skills)
• Governance Involvement (Hard Skills)
• Client Relationships (Soft Skills)
• Integration Troubleshooting (Hard Skills)