Data Governance

Secaucus,NJ

Job Title or Keyword

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853 Data Governance jobs in Secaucus,NJ

Sr Dir, Business Operations and Data Governance– Intelligence Ventures

Spectrum Careers

New York, NY 10025

Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

Sr Product Manager II, Data Product Management

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$163,100-$218,700/yr

Data Engineer, Vice President

Citi

Jersey City, NJ 07308

New, Posted 13 hours ago

Investment Accounting Data Analytics and Reporting Manager

MassMutual

New York, NY 10012

L&A Solutions Sales Executive

NTT DATA Americas

New York, NY 10261

New, Posted 1 day ago

Sr. Data / M/L Engineer [211066]

Skill

New York, NY 10261

Strong SQL and database management experience
Experience with data pipelines and ETL processes
Proficiency in machine learning and statistical modeling
Experience with BI tools (Power BI, Tableau)
Full-stack development knowledge
Experience with cloud platforms (AWS preferred)
Data architecture
Data modeling n
Infrastructure setup
Ability to work with large-scale datasets
Programming experience (likely Python/R inferred)
Strong problem-solving and analytical skills
Bachelor's degree in Electrical Engineering or Computer Engineering
The role requires full stack knowledge, including front-end and back-end components, and the ability to set up new infrastructure.

SmartExplore AI is experimental.

Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 19 min 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

SmartExplore AI is experimental.

EY-Parthenon - Strategy and Execution - Growth Platforms - Software Engineer - Sr Assoc/Consultant

EY

New York, NY 10176

New, Posted 3 hours ago

Specialist Director, Salesforce Platform Support Lead

KPMG

New York, NY 10025

~ 19 min OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of recent experience in Salesforce platform delivery, including AMS/production support leadership with SLA accountability
Bachelor's degree from an accredited college or university is required
Deep expertise in Salesforce (Sales Cloud required) with strong knowledge of Apex, Flows, Lightning architecture, and integration patterns (MuleSoft preferred)
Proven experience in ITIL-aligned service management, backlog governance, and KPI reporting within structured L1/L2/L3 models
Demonstrated leadership in multi-team Agile delivery with strong stakeholder management, executive communication, and the ability to operate in complex, high-pressure environments
Ability to travel as needed based on business and client demands
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future

SmartExplore AI is experimental.

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