The role of Data Manager is responsible for overseeing all aspects of data management and governance within an organization. This includes acquiring, developing, implementing, maintaining, and disseminating data; developing a team of data experts; ensuring data is used ethically and securely for business objectives; and driving innovation through leveraging, enriching, protecting, and maintaining organizational data assets. The Data Manager will be based in Geneva and report to the Chief Knowledge Officer.

1. Data Manager
Jobdescription
Informationdatabase istodaymostvaluable asset,andthe needfordatacontinuestogrow
exponentiallyinorganizations. Datahas value only,if itisreadilyavailable,easilyfound, trustable,
contextualized, andeasily re-usable fornew applications.The Administrationhasaclear a visionof data
managedas and assetanddata-drivendecision-making.DataManageristhe role primarilyresponsible
for operationalizingthatvision.Inessence, DataManagers acquire, develops,implements,maintains,
disseminate, everyaspectrelatedtothe data as well asitsmanagement,security,processing,etc. Data
Manager developsateamof data practitioners toenable andsupportaculture of data sharingand
repurposingincludingdatascientists, datastewards, dataqualityexperts,anddataarchitects,etc. Data
Manager ismakingsure that data projectsare for the sake of businessobjectives,notforthe sake of
data. Data Manager has a technical understandingof dataandits potential forwideruse.
Data Manager’s role ispart data strategistandadviser,partstewardforimprovingdataquality,part
evangelistfordatasharing,part technologist, parta teamleaderfordrivingDataexperttothe execute
the organization’svision, andpartdeveloperof new dataproducts.
Data manageris drivinginnovationandoptimizeuse of datainfive ways:
Leverage - findingwaystouse existingdatafromexistingprocesses
Enrichment- augmentingdataby combininginternal andexternalsources.
Value Proposition/Monetization- findingBusinessvalue added/Source of Revenue tiedtodata.
Protection- ensuringdataprivacyand security.
Upkeep- managingthe healthof data undergovernance.
Location: Geneva
Team: Data Managementteam,Knowledge ManagementandTechnologyservices(KMTS)
Reporting to: Chief KnowledgeOfficer
Work Experience
 Experience of 5yearsis a minimuminDataManagementfield(DAMA Frameworkaplus)
 Experience of 10 yearsisrequiredinInformationTechnology.
 Experience of 10 yearsisa minimuminTeammanagement.
 Experience of 5yearsis required inProjectManagement.
 Experience withaninternationalormultinational organisationisdesirable.
 Experience inthe areasof global health(particularlyimmunisation) willbe an advantage.
Skills/Competencies
 Strongbusinessanalysis,projectandprocessesmanagementskills;
 Extensive familiaritywithRelationalDataManagementsystems,Datawarehousing,Extract-
Transfer-Load(ETL) systems,andBusinessIntelligencesystems.
 Autonomous,strongagilityattuning,troubleshootingandresolvingITissues.

2.  Team playerwithattentiontodetailsandcapacityto deliverintime.
 Stronganalytical, andwritingskills;
 Leadershipandmanagementskills; AbilitytoleadandcoachTeam resources
 Strongpresentation, andcommunication skills;Abilitytoreport,influence andadvise;
 Strongclient-orientationwithprovenabilityof workingwithseniormanagement;
 Abilitytoworkina multicultural environmentandestablishharmoniousworkingrelationships,
bothwithinandoutside the organisation.
Methodology
 Project Management:FamiliarwithPMI,Prince2,orScrum
 Data Management:FamiliarwithDAMA Framework,EFQM,DublinCore
 IT service Management(ITSM): FamiliarwithITIL,COBIT,MOF
 BusinessAnalysis:MOST, MoSCoW, IIBA
Technical Skills
 Databases: Knowledgeableon MicrosoftSQLServer,MicrosoftAzure – SQL Azure (IaaS,PaaS),
Hadoop,MS Access,GraphDB,NoSQLRDMS
 Extract – Transform – Load: Knowledgeableon Informaticasolutions, Talendandothers
 Data Modelingtools:Knowledgeable on Embarcaderosolutions,Erwin,Visio
 Data Quality software: Knowledgeableon TalendDataPreparation,Excel
 BusinessIntelligence:Knowledgeable on Tableau,PowerBI,Salesforce Waves
 Monitoringsolutions:Knowledgeable on Woopra, InformaticaIQ
 CloudSolutions:Azure,AWS
 BusinessProcessmapping tools: Bizagi
 Data Governance solutions:EmbarcaderoTeamServer,Azure Data Catalogue,Glossaries,
Enterprise Dictionary.
 SaaS solution:Salesforce (SFDC), Atlassiansuite(JIRA,Confluence),Office 365
 OperatingSystems: WindowsEnvironmentrequired
Languages
 FluencyinwrittenandspokenEnglish;
 Good workingknowledge of Frenchisdesirable;
 OtherGavi languagesisdesirable.
Data Governance activities
 In charge of UnderstandingStrategicEnterprise Dataneed (P)
 Responsible forDevelopingandmaintainingthe organization’s DataStrategy (P)
 EstablishDataProfessional RolesandOrganizations (P)
 Accountable forIdentifyingandappointDataStewards inside the organization (P)
 EstablishDataGovernance andStewardshipOrganizations (P)
 Accountable fordelivering DataPolicies,Standards,andProcedures (P)
 Accountable forData Architecture Review andApproval (P)
 Accountable forSponsoringDataManagementProjects, Services andOperations (P)
 Work withChief KnowledgeOfficer,on Estimate DataAssetValue andAssociatedCosts (P)

3.  Responsible forSupervising DataProfessional OrganizationsandStaff (C)
 Responsible forCoordinating DataGovernance Activities (C)
 Accountable forManagingand Resolving DataRelatedIssues (C)
 Accountable forMonitoringandEnsuringRegulatoryCompliance (C)
 Monitorand Enforce Conformance withDataPolicies,Standards,andArchitecture (C)
 Responsible forOverseeingDataManagementProjects,Services,andOperations (C)
 Accountable forPromoting the Value of DataAssets (C)
Data Architecture Management
 UnderstandEnterprise InformationNeeds(P)
 Accountable forDevelopmentandMaintenance of the Enterprise DataModel (P)
 Accountable forAlignment withotherbusinessmodels (P)
 Accountable forDefining andMaintainingthe DataTechnologyArchitecture(P)
 Accountable forDefiningandMaintainingthe DataIntegrationArchitecture (P)
 Accountable forDefiningandMaintaining the DataWarehouse andBusinessIntelligence
Architecture (P)
 Consultedin EnterpriseTaxonomiesandNamespaces definition (P)
 Consultedin Meta-dataarchitecture definition (P)
Data Development Activities (Informed)
 Informedon Data Modeling,Analysis,and SolutionDesign tasks (D)
Analyse InformationRequirements,DevelopandMaintainConceptual DataModels, Develop
and MaintainLogical Data Models,DevelopandMaintainPhysical DataModels
 Informedon Data Design tasks (D)
DesignPhysical Databases,DesignInformationProducts, DesignDataAccessServices,Design
Data IntegrationServices
 Informedon Data Modelsand Design QualityManagement tasks
DevelopDatamodelingandDesignStandards(P),Review DataModel andDatabase Design
Quality(C),Manage Data Model VersioningandIntegration(C)
 Informedon Data Implementationtasks (D)
ImplementDevelopment/Test Database Changes, Create andMaintainTestData,Migrate and
ConvertData, BuildandTestInformationProducts, BuildandTestDataAccessServices,Validate
InformationRequirements,Prepare forDataDeployment
Data Operations Management (Informed and Consulted)
 Informedon Database Support
ImplementandControl Database Environments(C), ObtainExternallySourcedData(O), Planfor
Data Recovery(P),BackupandRecoveryData (O),SetDatabase Performance ServiceLevels(P),
Monitorand Tune Database Performance (C),PlanforData Retention(P),Archive,Retain,and
Purge Data (O),SupportSpecializedDatabases(O)
 Consultedon Data TechnologyManagement
UnderstandData TechnologyRequirements(P),Define the DataTechnologyArchitecture (P),
Evaluate Data Technology(P),Install andAdministerDataTechnology(C),InventoryandTrack
Data TechnologyLicenses(C),SupportDataTechnology Usage andIssues(O)

4. Data Security Management
 Responsible forUnderstandingDataSecurityNeedsandRegulatory Requirements (P)
 Accountable forDefining anddeliveringDataSecurityPolicies(P)
 Accountable forDefining DataSecurityStandards(P)
 Accountable forDefining DataSecurityControlsandProcedures(D)
 InformedonManaging users,Passwords,andGroupMembership relatedtoData(C)
 Consultedon DataAccess Data Views,and DataPermissions(C)
 Informedon UserAuthenticationandAccessBehaviorMonitoring(C)
 Accountable forInformationConfidentiality Classification (C)
 Accountable forData Security Audits(C)
Reference and Master data management
 Responsible forUnderstandingReference andMasterData IntegrationNeeds(P)
 Accountable forIdentifyingMasterandReference DataSourcesandContributors(P)
 Accountable forDefine andMaintainthe DataIntegration Architecture (P)
 Accountable ImplementReferenceandMasterData ManagementSolutions(D)
 Responsible forDefining andMaintainMatchRules(C)
 Accountable forEstablishing“Golden”Records(C)
 Accountable inDefining andMaintainHierarchiesandAffiliations(C)
 Accountable forPlanningandthe Implementationof Integrationof New DataSources(D)
 Accountable forReferenceandMasterData ReplicationandDistribution (O)
 Accountable forManaging ChangestoReference andMasterData (O)
Data Warehousing and Business Intelligence Management
 Responsible forUnderstandingBusinessIntelligenceInformationNeeds(P)
 Accountable forDefining andMaintainingthe DataWarehouse andBusinessIntelligence
Architecture (P)
 Accountable forImplementingDataWarehouse andData Marts (D)
 Accountable forBusinessIntelligenceToolsandUserInterfaces Implementation (D)
 InformedforData forBusinessIntelligenceProcessing(O)
 Consulted onDataWarehousingProcesses MonitoringandTuning (C)
 Informedon BusinessIntelligence activityandPerformanceMonitoringandTuning
Document and Content Management
 Consultedon Document/ Records Management
PlanManaging Documents/Records(P),ImplementDocument/RecordsManagementSystems
for Acquisition,Storage,Access,andSecurityControls(O,C), BackupandRecoverDocuments/
Records(O),RetainandDispose of Documents /Records(O), AuditDocument/Records
Management(C)
 Consultedon ContentManagement
Define andMaintainEnterprise Taxonomies(P),Document/Index InformationContentMeta-
data (O),Provide ContentAccessandRetrieval (O), GovernforQualityContent(C)

5. Meta-data Management
 Responsible forUnderstandingMeta-DataRequirements(P)
 Accountable forDefining the Meta-DataArchitecture (P)
 Accountable forDevelopingandMaintainMeta-DataStandards(P)
 Accountable forImplementingaManagedMeta-Data Environment(D)
 Accountable forMeta-dataCreationandMaintenance (O)
 Informedon Meta-dataIntegration (C)
 Informedon Meta-DataRepositories Management(C)
 ConsultedforMeta-dataDistributionandDelivery (C)
 Informed Query,ReportandAnalyze Meta-data(O)
Data Quality Management
 Responsible forDevelopingandPromotingDataQualityAwareness(O)
 Accountable forDefining DataQuality Requirements (D)
 Accountable forProfiling,Analysis, andassessmentof DataQuality(D)
 Responsible forDefining DataQuality Metrics(P)
 Responsible forDefining DataQualityBusinessRules(P)
 Accountable forData QualityRequirements TestingandValidation (D)
 Responsible forSettingupandEvaluating DataQuality Service Levels(P)
 InformedonContinuousMeasurement andMonitoringDataQuality(C)
 Accountable forManaging Data QualityIssues(C)
 InformedonCleaning andCorrectingDataQualityDefects(O)
 Accountable forDesigningandImplementingOperational DQMProcedures(D)
 Accountable MonitorOperationalDQMProcedures andPerformance (C)
*(P) Planning, (C) Control, (D) Development, (O) Operations
**Activities are based on DAMA Framew ork(www.dama.org)