1044 It Governance Program Manager jobs in New York,NY

New, Posted 13 hours ago

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Manager, SailPoint Identity Governance Technical Lead

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recenthands-on experience with IGA solutions, with at least two years specificallyfocused on SailPoint Identity Security Cloud (ISC)
Bachelor's degree from anaccredited college/university in computer science, information security, or arelated field is required
SailPoint professional certifications (for example:SailPoint Certified IdentityNow Engineer) are preferred
Provenapplication onboarding and migration expertise, including leading at least onesignificant migration from legacy IAM solutions (e.g., Oracle Identity Manager,SailPoint IIQ) to SailPoint Identity Security Cloud (ISC)
Deepunderstanding of IAM and access governance (identity lifecycle, accessrequests, certification, role engineering), security controls, and regulatoryframeworks (e.g., SOX, NIST, ISO 27001); familiarity with AWS, Azure, and GCP
Abilityto lead technical workstreams, make informed decisions, mentor team members,and drive complex identity governance initiatives
Excellentanalytical, communication, presentation, and problem-solving skills, with theability to lead technical discussions; knowledge of AI tools and integrations,including management of non-human and agent identities
Ability to travel as required
Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H 1B, L 1, TN, O 1, E 3, H 1B1, F 1, J 1, OPT, CPT or any other employment based visa)

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Head of Product Management – Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Bachelor's Degree in Business, Computer Science, Engineering, Economics, or a related field
10+ years Product management leadership experience for data, intelligence, SaaS, or platform products
5+ years Hands-on product leadership, including directly owning products and building or leading a small, senior team
Deep expertise in product management for data, intelligence, or platform products built on AI/ML systems, with the ability to turn embeddings, features, and scores into successful commercial offerings
Proven success owning the full product lifecycle for technical and business-facing products, including APIs, feeds, SDKs, dashboards, and insights tools
Experience building and packaging data products across APIs, feeds, clean rooms, zero-copy platforms, and audience/activation products, with strong commercial and developer-experience instincts
Strong product strategy and commercial acumen, including pricing, packaging, tiering, business cases, and prioritizing investments across markets and revenue streams
Deep market fluency in adtech, martech, data, measurement, identity, clean rooms, DSPs/SSPs, and retail media, with the ability to translate market feedback into product decisions
Skilled at communicating complex AI/ML and data concepts to executives and partners, with a strong grasp of privacy-preserving data products, governance, and regulatory considerations
Comfortable as a hands-on, player-coach leader in a lean, early-stage environment, with the ability to build teams, navigate ambiguity, and deliver against ambitious goals
Strong interest in agentic AI and emerging intelligence-product interfaces, including AI-ready APIs, retrieval-grounded experiences, and multi-agent workflows
Ability to serve as a visionary leader, think strategically, and anticipate future needs and trends with respect to relevant technologies
Ability to lead large change, complex projects and initiatives, foster teamwork, and build a strong culture of collaboration

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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 1 day ago

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Strategic Expense Analysis & Capabilities Manager

MassMutual

New York, NY 10012

New, Posted 19 hours ago

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Sr. Project Engineer

MasTec Industrial

Paterson, NJ 07544

$130,000-$160,000/yr

Urgently Hiring

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Vice President, Cross-Functional Client Coverage and Business Development

BNY

New York, NY 10007

New, Posted 19 hours ago

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Sr. Project Engineer

MasTec Industrial

Jersey City, NJ 07305

$130,000-$160,000/yr

Urgently Hiring

New, Posted 16 hours ago

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Manager - Infrastructure, Capital Projects & Climate Advisory (Project/Program Development & Finance - Transportation)

KPMG

New York, NY 10025

Minimum five years of recent experience in relevant advisory consulting or project development roles
Master's degree from an accredited college or university is preferred; minimum of a Bachelor's degree from an accredited college or university is required
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

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