Director Analyst, Data Integration
Gartner Analysts are industry thought leaders who create must-have research, marketpredictionsand best practices for a broad range of world-leadingorganizations.
A DirectorAnalystpossessesa keen eye foridentifyingproblems and creatingsolutionswithin thetechnologicalmarketsthey serve. They use theirknowledge to help clients make better decisions, solve complex issues, and execute new practices that propel clientsβ businesses toward keyobjectives.
A DirectorAnalystpublishes these insights as pragmatic and/or provocative research. Additionally, they reinforce Gartner βs value every day by engagingclients via virtual meetings, sales support, Gartner conferencesand industry events.
The successful candidatefor this roleis an expert in DataIntegration technology and Data Engineering disciplineand understands the benefits it can bring in addition to the challenges of implementation across people, processes, and technologies.The candidate willalso have a core understanding ofData Integration and its application across Data Management platforms and use cases. The candidate willfocus on written and customer-facing deliverablesto supportData & Analytics Leaderswho face the challenges of improving/establishingData Integrationwithin their Organizations.
What you will need:
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Demonstrated experience workingon DataIntegration and Engineeringinitiatives.
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Bachelor'sDegree,AdvancedProfessionalQualification, or10+yearsdirect experience in a field related toDataManagement.
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Subjectmatterexpertise, withdemonstratedknowledge ofhow to improve and sustain DataIntegration and Data Engineering within Data Management disciplines.
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Primary Areas of coverage would include β
- data integration technology and markets
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data ecosystem and data management platforms
- data engineering practices and skills
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dataOpsmethodologies for agile engineering
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understanding of modern data integration styles like streaming, virtualization/federation of data, data replication, APIintegrationetc.
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understanding of modern data management architectures like data fabric and data mesh
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understating the data mesh operating principles withexpertiseon data products and marketplaces to federate data management.
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Modern data management architecture requirements to support AI-ready data including but not limited to the use Knowledge Graphs, Ontologies and Semantics for AI use cases and AI agents
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Hands-onexperience withData Integration and Engineeringtools,is a plus.
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Hands on experience withdata streaming tools, data virtualization tools, real-time data integration and application integration technology,is a plus.
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Familiarity with Chief Data and Analytics Officer (CDAO) initiatives, goals,objectives, and business value ROI.
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Strong organizational skills: ability to work under tight deadlines and produce high quality deliverables.
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Demonstrate excellence in research and writing ability.
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Strong written and verbalproficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions.
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Ability torepresent Gartner 's researchmethodologyand strategies effectively at all levels.
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Willingness and ability to travel up to 25% (where applicable).
Whatyou willdo:
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Deliver high-quality actionable advice through a variety of media.
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Write provocative and pragmatic research thatisclear and actionable.
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Provide high quality andtimelyresearchcontentpeer review.
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Create and deliver presentations for webinars, onsite engagements, and Gartner conferences.
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Track vendors, markettrendsand emerging practices to remain ahead of the curve within these areas, and adjacent spaces (e.g.digital transformation, data management strategy and operating models, data engineering skills, among others).
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Deliver outstanding sales support toretainand grow the Gartner business.
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Build credibility as an industry expert torepresent Gartner research,methodologyand strat