Dataiku Users List
Connect with the companies and stakeholders behind active Dataiku environments through a custom audience aligned to your ICP. The page targets a product-specific installed base and connects that footprint to the buying groups most relevant to the seller.
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Who Buys a Dataiku Users List?
Product ownership is the qualification layer. The commercial opportunity comes from matching it to the seller’s solution and the account’s likely next requirement.
Data Engineering And Analytics Consultancies
prioritize Dataiku accounts for data modernization and migration services.
Cloud Data, Etl And Integration Vendors
prioritize Dataiku accounts for governance, observability and security platforms.
Governance, Quality And Observability Providers
prioritize Dataiku accounts for analytics, AI and integration solutions.
Ai, Bi And Data-security Companies
prioritize Dataiku accounts for data modernization and migration services.
Build a Dataiku Users Email List Around Your ICP
A useful Dataiku users email list should reflect the seller’s actual ICP. Start with the product footprint, then combine it with company, market and stakeholder criteria that determine whether the account is worth pursuing.
| Targeting Dimension | Available Qualification Filters & Criteria |
|---|---|
| Dataiku segmentation layer | How it applies to Dataiku |
| Platform, Edition And Workload | Dataiku product, module, edition or version |
| Cloud And Complementary Data Stack | Relevant operating model, use case or adjacent stack |
| Industry And Data Intensity | Industry, revenue, employee size or growth profile |
| Company Size And Revenue | United States, state, region, headquarters or operating footprint |
| Data, Analytics And Engineering Leadership | Chief Data Officer, VP Data and Analytics, Director of Data Engineering, BI Director |
Decision-Makers and Professionals Available in a Dataiku Contact Database
The Dataiku contact layer should reflect both budget authority and operational ownership. Targeting only the C-suite can miss the people evaluating integrations, managing the Dataiku environment or shaping the shortlist.
Governs enterprise data strategy, governance policies, and AI plans.
Drives advanced analytics strategy, AI adoption, and data governance.
Supervises data ingestion, ETL pipelines, and warehouse operations.
Leads enterprise business intelligence architecture and data models.
Builds data pipelines, lakehouse storage, and data model schemas.
Directs daily reporting pipelines, dashboard adoption, and metrics.
Holds budget approval and executive IT infrastructure strategy.
Customize Your Target Buying Committee
Contact selection can be narrowed by seniority, department, company profile and US geography so the Dataiku campaign is aligned to the buying group rather than a generic executive audience.
Commercial Uses for a Dataiku Customers List
Maximize pipeline efficiency across multi-channel sales and account-based marketing initiatives.
Account-based Selling
Prioritize Dataiku accounts that match the seller’s industry, size, location and technology criteria.
Cross-sell And Integration
Find environments where complementary governance, observability and security platforms may solve a visible operational requirement.
Migration Or Modernization
Separate stable Dataiku users from accounts showing signals associated with replacement, expansion or modernization.
Events And Partnerships
Invite the relevant Dataiku practitioners and business owners to product briefings, partner programs and industry events.
Companies Using Dataiku in the USA
The companies using Dataiku should be selected for commercial relevance, not brand recognition alone. TargetNXT can organize the audience around account characteristics that change the value of the opportunity.
| Dataiku account segment | Dataiku selection logic | Commercial relevance to Dataiku sellers |
|---|---|---|
| Enterprise Dataiku accounts | Large Dataiku environments with complex ownership, integration and service requirements | Enterprise transformation, managed services and strategic platforms for Dataiku estates |
| Midmarket Dataiku organizations | Growing US businesses using Dataiku with leaner technical and operational teams | Implementation, optimization and scalable complementary solutions for Dataiku |
| Regulated Dataiku users | Accounts whose Dataiku environment supports controlled or critical workflows | Security, governance, compliance and resilience around Dataiku |
| Dataiku expansion or change accounts | Organizations showing hiring, migration, consolidation or leadership signals | Time-sensitive Dataiku modernization and advisory outreach |
Named Dataiku company examples should be added only after the specific installation is validated against current first-party or authoritative evidence.
Intent Signals Around the Dataiku Installed Base
Technology ownership indicates fit. Timing improves when the Dataiku installed base is combined with observable organizational or investment signals.
Data-platform Modernization
Upgrading analytics pipelines, storage layers, and query engines.
Warehouse Or Lakehouse Migration
Transitioning legacy databases to scalable cloud data lakehouses.
Analytics Hiring Growth
Recruiting data scientists, BI developers, and data engineers.
New Governance Or Ai Program
Deploying machine learning models and enterprise data governance.
Integration Expansion Across Business Systems
Connecting cross-functional ERP, CRM, and cloud data ecosystems.
Dataiku intent signals should be treated as prioritization evidence, not proof that an account has approved a purchase. Campaign messaging must reflect the strength and freshness of the underlying evidence.
What Is Included in the Dataiku Users List?
Every Dataiku Users Email List is structured across 4 intelligence dimensions, delivering verified contact depth and actionable account attributes.
Contact & Executive Data
Direct AccessCompany & Firmographics
Account SizingTechnographic Depth
Stack ContextGeography & Signals
Location & TimingSample Dataiku Users Email List Database Preview
Preview verified sample records showcasing our 21+ B2B intelligence data fields with masked contact records.
| # | First Name | Last Name | Full Name | Verified Business Email | Direct Phone | Job Title | Job Function | Company Name | Primary Industry | SIC Code | NAICS Code | Employee Size | Annual Revenue | Street Address | City | State | Zip Code | Country | Technology Stack | LinkedIn Profile |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jennifer | Sterling | Jennifer Sterling | j.s****g@inna***.com | +1 (551) ***-2743 | VP Information Security | IT Architecture | Pinnacle Global Systems | Financial Services | 6021 |
522110 |
3,500+ Employees | $850M | 100 Federal St, Fl 28 | Boston | MA | 02110 | USA | Dataiku Users Email List | Profile Page |
| 2 | Robert | Bradford | Robert Bradford | r.b****d@cuit***.com | +1 (588) ***-2866 | Chief Information Officer | Enterprise Applications | Acuity Health Technologies | Healthcare & Life Sciences | 8062 |
622110 |
1,800 Employees | $420M | 1450 Brickell Ave, Ste 1800 | Miami | FL | 33131 | USA | Dataiku Users Email List | Profile Page |
| 3 | Rachel | Reynolds | Rachel Reynolds | r.r****s@pex***.com | +1 (625) ***-2989 | Head of Enterprise Systems | Executive IT Leadership | Apex Logistics International | Transportation & Logistics | 4213 |
484121 |
4,200 Employees | $1.1B | 233 S Wacker Dr, Ste 5000 | Chicago | IL | 60606 | USA | Dataiku Users Email List | Profile Page |
| 4 | Michael | Bennett | Michael Bennett | m.b****t@angu***.com | +1 (662) ***-3112 | Director of Data Engineering | Cloud Infrastructure | Vanguard Manufacturing Group | Industrial Manufacturing | 3531 |
333120 |
2,400 Employees | $650M | 1700 Lincoln St, Ste 3000 | Denver | CO | 80202 | USA | Dataiku Users Email List | Profile Page |
| 5 | Sarah | Roberts | Sarah Roberts | s.r****s@ovus***.com | +1 (699) ***-3235 | Director of IT Applications | Data & Analytics | Novus Digital Media Corp | Technology & Media | 7373 |
541512 |
950 Employees | $210M | 415 Mission St, Ste 3200 | San Francisco | CA | 94105 | USA | Dataiku Users Email List | Profile Page |
| 6 | James | Sullivan | James Sullivan | j.s****n@ummi***.com | +1 (736) ***-3358 | Senior Platform Operations Manager | Information Security | Summit Retail Enterprises | Retail & Consumer Goods | 5311 |
452210 |
6,800+ Employees | $2.4B | 1717 Main St, Ste 2400 | Dallas | TX | 75201 | USA | Dataiku Users Email List | Profile Page |
| 7 | Melissa | Gallagher | Melissa Gallagher | m.g****r@erid***.com | +1 (773) ***-3481 | Lead Cloud Infrastructure Architect | Platform Operations | Meridian Energy Solutions | Energy & Utilities | 4911 |
221118 |
1,250 Employees | $380M | 1000 Main St, Ste 1800 | Houston | TX | 77002 | USA | Dataiku Users Email List | Profile Page |
Explore Other Data & Analytics Datasets
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Dataiku Users List FAQs
Everything you need to know about our custom Dataiku Users Email List datasets.
It is a business contact dataset organized around companies identified as using Dataiku, together with relevant company, contact and technology attributes.
Yes. The Dataiku audience can be scoped to the United States and narrowed further by state, region, industry, revenue, employee size and other ICP criteria.
TargetNXT can prepare a current account view for Dataiku using validated technology and company criteria, then add the contact roles relevant to the buyer’s campaign.
Companies using Dataiku can be selected by US geography, industry, company size, revenue, deployment context and the buying roles relevant to the seller’s offer.
TargetNXT does not use an unsupported Dataiku market-share estimate. The commercial dataset is prepared from validated account-level technology coverage, and a current company count can be requested for the buyer’s selected US market.
Dataiku product, module, edition or version filters can be applied when that distinction is present and validated in the underlying technology data.
The audience can include relevant economic buyers, technology owners, departmental leaders and operational professionals, including Chief Data Officer, VP Data and Analytics, Director of Data Engineering, BI Director.
TargetNXT applies AI-assisted verification systems and manual review across the Dataiku records supplied. Sample records can be reviewed before the full audience is prepared.
Yes, when the requested Dataiku signals can be supported. Examples may include leadership changes, hiring, migration activity, expansion, consolidation and related technology investment.
Guaranteed 95%+ email deliverability, human verification, and full compliance (GDPR, CCPA, CAN-SPAM) across all verified Dataiku records.