• Managing and assuring aptness of finance-related vendor data
• Manage and ensure integrations of wide projects with finance systems.
• Coordinate with internal and external resources for the flawless execution of projects
• Organizes a team with the right composition and representation of stakeholders needed to achieve project deliverables.
• Leads on producing the following deliverable, Project Management Plan, Project progress and achievements reports based on agreed SLAs
• Ensures resource availability and allocation
• Monitors team members' performance to established roles and commitments and provides feedback.
• Develop spreadsheets, diagrams and process maps to document needs
• Check, validate, and provide insights for post-con document submission of reports from vendor
• Deliver effective data stewardship from capture through to publication, ensuring that both customer and business requirements are met alongside retaining and developing market leadership and competitive advantage in data assets
• Work with customers and propositions teams to translate customer needs into data requirements and collaborate closely with colleagues in other parts of the business to ensure a coherent approach across OS

Skills: Vendor Data Management, Finance Systems Integration, Project Coordination, Team Organization, Resource Management, Performance Monitoring, Data Stewardship, Customer Needs Analysis

• Responsible for leading the data management function for applicable lines of business and assisting in the delivery of business results and deliverables
• Leads teams through the data management lifecycle understand data management tools and processes and ensures on-time delivery of data-related work requests
• Collaborate with key stakeholders, business partners, and control partners to document impacts of data quality up and downstream
• Assess the accuracy of analytics, and ensure accuracy around documentation of systems of record, authoritative sources and usage
• Direct the documentation of specific data element metadata to document information and identify potential data quality issues
• Review queries processed against data element locations to build profiling, and information and measure impact and information related to specific elements or investigate data quality issues
• Drives root cause analysis and implements solutions
• Identifies and documents best practices, and drives implementation
• Independently develops value-adding business solutions
• Prepares standard and ad hoc management reports and presentations
• Leads business analysis, process design and requirements development sessions
• Expand research and analytics capability, with the use of emerging analytical approaches, skills and technologies, focusing on digital business innovation

Skills: Data Management Leadership, Lifecycle Management, Data Quality Assessment, Stakeholder Collaboration, Metadata Documentation, Data Profiling, Root Cause Analysis, Digital Business Innovation

• Partner with Data Risk leads and tech resources to define complete requirements within tooling for classifiers and control capabilities.
• Ensure communication of required timelines within the team and stakeholders, to ensure correct prioritization for requirement.
• Facilitate progress updates through Data Risk requirement lifecycle including modeling, development, UAT and production release, to enable clear articulation through to program working groups and senior governance meetings.
• Ensure program initiatives are properly defined, tracked, and completed within the specifications of the time frame and dependencies.
• Ability to establish consistent contact with all teams to provide updates, stay on track and report risks and issues timely.
• Ensure that wider business risks are recognized and being addressed, including requirements impact to operational models.
• Drive communications out to CDO's and into LOB's to promote the program and ensure successful adoption.
• Concentration on the strategic goals, objectives and benefits and ensure these are evident and maximized
• Ensure the sum of the deliverables from across the program meet the Data Risk business needs.
• Set and monitor CORE requirements
• Communicate with stakeholders where required with this task.
• Identify and communicate risks with action plan deadlines
• Providing concise, key, and appropriate reporting status on identified risks to the Firmwide Data Management team and LOB stakeholders

Skills: Data Risk Management, Stakeholder Communication, Requirements Gathering, Project Lifecycle Management, Program Governance, Risk Reporting, Strategic Alignment, Cross-Team Coordination

• Develop HR data quality standards, data privacy, code of conduct and ethics policies
• Advise internally on data privacy, and data transfers and educate and re-enforce HR global data standards with HR colleagues around the world
• Ability to interpret new data privacy/data transfer legislation, provide recommendations and drive implementation of required actions
• Enhance and monitor existing HR data quality frameworks. 
• Resolve underlying reasons for data issues
• Monitor application users to ensure they are following data governance procedures
• Ownership for definition of HR system security access request & approval process - e.g. Workday
• Oversee and govern HR systems security processes ensuring controls are met
• Advise, oversee and audit HR's approach to data retention to ensure we comply with internal and external requirements
• Assist with data monitoring and provide management with guidance on streamlining data management
• Create and maintain common data dictionaries and the tools or methods that support data standards
• Define data and analytics strategy practices and lead the creation of the City’s data and analytics strategy

Skills: HR Data Quality Standards, Data Privacy Advisory, Data Transfer Compliance, Data Quality Frameworks, Data Governance Procedures, System Security Access Management, Data Retention Oversight, Analytics Strategy Development

• Maintain tasks and descriptions of roles related to data management
• Lead Data Owners and Data Stewards Community
• Develop and document further processes related to data management targeting making data Findable, Accessible, Interoperable and Re-usable
• Define data quality rules and KPI’s
• Develop and maintain the data catalog platform in cooperation with the vendor
• Ensure proper cost allocation principles for the data products and data product cost reporting
• Promote data governance principles and value to Stora Enso stakeholders
• Lead the definition and prioritization of backlogs and specifications for data inputs to OS products
• Define and implement processes to ensure that data is managed and documented effectively throughout the data lifecycle
• Lead a team of individuals devoted to the organization, exploration, and documentation of all of Govini’s data
• Manage existing relationships and build new relationships with third-party data suppliers
• Establish effective external relationships with other data management professionals and bodies to ensure that OS remains up to date with emerging trends in data management best practices, and compliant with the regulation

Skills: Data Management Leadership, Data Stewardship, Process Development, Data Quality Management, Data Catalog Development, Cost Allocation Management, Data Governance Advocacy, External Relationship Management

• Experience in end-to-end Master Data Management implementation, from defining the MDM strategy to the deployment and servicing of the platform, ideally with a good 360 understanding of different MDM domains and business cases
• Solid technical MDM knowledge ranging from the 4 patterns to the next-generation MDM platforms and approaches
• Knowledge of technical and non-technical aspects of data management, including Reference Data Management, Data Quality Improvement, Metadata Management, Data Marketplace and Data Governance.
• Proven success in starting from scratch and implementing the whole process
• Experience in delivering strategies and solutions within an Agile environment.
• Experience in integration and use of data architecture tools yet to be defined
• Excellent communication (written and oral) and interpersonal skills.
• Ability to apply analytical and creative thought processes.
• Ensure delivered solutions are realized in the time frame committed
• Ability to work in conjunction with senior stakeholders to manage scope and risk

Qualifications: BA in Computer Science with 4 years of experience

• Technical understanding of relational and NoSQL databases, with implementation and support experience
• Experience with Documentation of business and data requirements
• Proficiency with SQL query writing in a modern relational database environment, and data analysis and reverse engineering skills
• Strong Analytical, strategic, and problem-solving skills.
• Ability to work autonomously and collaboratively with the team and other areas within Moody's
• Excellent oral and written communication skills. 
• Able to communicate effectively with business stakeholders, developers and senior management.
• Proficient in Microsoft Office Suite
• Effective time management and prioritization skills.
• Ability to be an individual contributor and a manager

Qualifications: BS in Information Systems with 3 years of experience

• Excellent product knowledge across a wide range of investment classes including Equities, Derivatives, Fixed Income and Multi-asset
• Service delivery oriented and able to work collaboratively across teams
• Self-starter, able to prioritize, work on own initiative and under pressure, and focus on continuous improvement, quality, and delivery
• Effective communication skills, written, presentational and verbal
• Demonstrable business analysis skills, strong analytical and numerical skills
• Good technical skills around data interrogation and analysis, typically SQL and excel
• Experience with the usage of Aladdin and Markit Enterprise Data Management
• Excellent communication skills, including the ability to write technical material and present to customers and managers
• Knowledge of EIA-649 Configuration Management Principles and familiarity with MIL-STD-130 as they apply to both Hardware and Software configuration and marking
• Experience managing or operating an electronic Configuration Management System
• Experience in Configuration or Data Management
• Ability to possess CMPIC, NDIA or equivalent configuration management certification

Qualifications: BA in Business Analytics with 5 years of experience

• Experience working in Clinical Imaging and/or Data and Analytics and a demonstrated ability to work in a fast-paced, high-growth environment.
• Experience with software development and methodologies.
• Experience with clinical imaging in multiple therapeutic areas such as Oncology, Ophthalmology and Neurology.
• Experience with medical image formats (e.g., DICOM, nifti) is required.
• Experience with medical/clinical image data analysis techniques.
• Proficient in scripting languages such as Python, Matlab, etc.
• Experience with ML/DL
• Understanding of clinical trials
• Excellent communication and presentation skills.
• Experience and understanding of application development methodology including Agile and Waterfall approaches, functional requirements, process modeling and re-engineering, use case development, user acceptance testing, organizational change management, and large-scale system implementations.
• Excellent written and verbal communication skills, able to quickly produce clearly written, well-organized documentation. excellent presentation and meeting facilitation skills.

Qualifications: BS in Data Science with 4 years of experience

• Experience as a lead CDM managing studies from preparation through close-out (including data management activities related to study conduct, study completion, and archiving of study materials) including management of outsourced CDM activities
• Ability to work independently with minimal supervision and excellent written and oral communication skills are required
• Familiarity with the coding of medications, medical conditions, and AEs/SAEs
• Knowledge of all relevant regulations including GCP as well as general knowledge of industry practices and standards (CDISC, SDTM)
• Good understanding of clinical trial methodology, clinical trial data and databases
• A team player with a keen eye for detail and quality focused
• Excellent interpersonal and communication skills, self-motivated, clear thinker
• Ability to plan and organize work, to work under pressure with high attention to detail, to independently evaluate and communicate development needs
• A dynamic self-starter in tune with the opportunities and constraints of working in a small company
• Proven Project Management skills in managing multiple studies
• Knowledge of Data Management procedures, processes, and best practices
• Proven experience in managing CROs, Functional Service Providers, and Technical Vendors

Qualifications: BA in Management Information Systems with 5 years of experience