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Salesforce Data Architect

New York,NY

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955 Salesforce Data Architect jobs in New York,NY

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Director, Analytics and Data Science (Hybrid)

Institute of International Education

New York, NY 10007

HybridUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree
  • At least eight (8) years of related work experience, or an equivalent combination of education and experience
  • Minimum 5 years working in data and technology
  • 3 years in Enterprise Data Strategy
  • 3 years leading Enterprise Data Management and Data Governance practices
  • Expert level knowledge of Data Visualization with PowerBI (or similar tools)
  • Experience working with ETL (Extract, Transform and Load), Data Transformations, Data Warehouse and Building Data Pipelines
  • Strong project management and presentation skills, including a track record of overseeing a portfolio of multiple projects and comfort with both large and small audiences
  • Knowledge of common tools and methods for data science, machine learning, and business intelligence
  • Capability to generate Data Visualization and Data Insights with existing data from Programs
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New, Posted 5 hours ago
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Network Solutions Architect - ADMS

Leidos

Staten Island, NY 10306

~ 41 min OnsitePaid Time OffRetirement Benefit

  • Bachelor's degree
  • At least 8+ years of experience working as a network architect with experience in designing and documenting enterprise network architecture with heavy focus on ADMS.
  • Additional years of experience may be considered in lieu of a degree.
  • Strong background in enterprise networking including LAN/WAN, routing, switching, firewall administration, segmentation, redundancy, and security zoning.
  • Experience designing or supporting real-time, mission-critical, or operational technology (OT) environments.
  • Proven ability to create technical architecture documentation, network standards, and infrastructure design deliverables.
  • Experience identifying infrastructure risks and implementing practical mitigation and resiliency strategies.
  • **Location:** This position is based in South Plainfield, New Jersey.
  • Qualified candidates must reside within a commutable distance
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New, Posted 5 hours ago
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Network Solutions Architect - ADMS

Leidos

Staten Island, NY 10314

~ 41 min OnsitePaid Time OffRetirement Benefit

  • Bachelor's degree
  • At least 8+ years of experience working as a network architect with experience in designing and documenting enterprise network architecture with heavy focus on ADMS.
  • Additional years of experience may be considered in lieu of a degree.
  • Strong background in enterprise networking including LAN/WAN, routing, switching, firewall administration, segmentation, redundancy, and security zoning.
  • Experience designing or supporting real-time, mission-critical, or operational technology (OT) environments.
  • Proven ability to create technical architecture documentation, network standards, and infrastructure design deliverables.
  • Experience identifying infrastructure risks and implementing practical mitigation and resiliency strategies.
  • **Location:** This position is based in South Plainfield, New Jersey.
  • Qualified candidates must reside within a commutable distance
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Manager, GCP Architect

KPMG

New York, NY 10025

Onsite

  • Minimum five years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience
  • Bachelor's degree from an accredited college/university
  • Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future
  • Travel as required
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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

  • Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
  • Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
  • Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
  • Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
  • Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
  • Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
  • Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
  • Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
  • Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
  • Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
  • Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
  • Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
  • Engineering leadership and team-building experience, including managing senior technical staff — 7 years
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New, Posted 20 hours ago
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Lead Analyst Project Portfolio Analytics

Kenvue

Summit, NJ 07901

Hybrid~ 39 minPaid Time Off

  • Bachelor's Degree is required.
  • Minimum of 6 years of relevant business experience, preferably in a large, matrixed company within Consumer Goods, Healthcare, MedTech, Pharma, or similarly complex portfolio environments, is required.
  • Minimum of 3 years of direct experience in project / portfolio analytics, portfolio governance, PMO analytics, or portfolio decision support is required, preferably in a large, global company with complex project portfolios.
  • Minimum of 3 years of experience working with complex data sets and hands-on development of enterprise analytics products, including executive dashboards, certified datasets, and self-service reporting in Power BI; Tableau experience is a plus.
  • Demonstrated experience with an enterprise Project and Portfolio Management platform is strongly preferred; Planisware experience is highly preferred. Experience with Planview, Project Server, or similar tools is acceptable.
  • Proven track record of identifying appropriate methods to collect, govern, analyze, and present impactful project / portfolio data to a broad audience in support of prioritization, transparency, and decision enablement.
  • Strong business and financial acumen, with an understanding of financial principles and project / portfolio evaluation methods such as Net Sales, NPV, Margin, IRR, and benefits realization, and how to use this knowledge to make recommendations aligned to business goals is required.
  • Demonstrated experience driving analytics enablement and adoption, including user training, self-service enablement, certified dataset and dashboard portfolio governance, or adoption improvement initiatives, is required.
  • Experience in building and deploying new Project Portfolio Management analytic capabilities, including scenario planning, capacity modeling, benefits tracking, or portfolio trade-off views, is required.
  • Experience with data governance, data quality monitoring, report certification, semantic models, or workspace governance is required.
  • Ability to operate in a complex environment and interact across multiple levels of the organization, and lead discussions without line authority to build alignment across senior cross-functional partners is required.
  • Must be comfortable with ambiguity and ongoing organizational change. Ability to act as a change agent and adapt quickly to changing business and organizational dynamics is required.
  • Must be customer-focused, have excellent interpersonal and communication skills, and be able to work collaboratively as part of a global team.
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Optical System Architect

CIENA

New Providence, NJ 07974

Flexible Schedule
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Manager - Data Analytics

Optimum Communications

Long Island City, NY 11101

$123,379-$202,694/yr
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Data Scientist

Gartner

New York, NY 10007

New, Posted 18 hours ago
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Pre Clinical Safety Data Scientist

Kenvue

Summit, NJ 07901

Hybrid~ 39 minPaid Time Off

  • Candidates must be legally authorized to work in the U.S. and must not require sponsorship for employment visa status now or in the future (e.g. H1-B status)
  • M.S. or Ph.D. ( preferred) in Data Sciences, Computational & Integrative Sciences or equivalent , with proven track record (e.g publications, posters, presentations) of applying modeling, simulation, and computational approaches for real world academic or industry toxicology/health sciences studies
  • You're available to complete a 2-year assignment, with the potential to extend to 3 years in Summit, NJ (Hybrid)
  • Strong proficiency with programing languages such as SQL, Python, R, etc.
  • Experience and the ability to review relevant scientific literature.
  • Ability to build effective working relationships.
  • Strong aptitude for sharing expertise with cross-functional and global teams.
  • Ability to communicate effectively both orally and in writing in an interdisciplinary environment.
  • Strong teamwork skills with independent working style, high level of initiative, reliability, and readiness to take on responsibility.
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