C

Collibra

Cloud data governance, catalog, quality platform

Director of Talent Acquisition

Full-Time
$184k - $210k/yr+ Bonus potential + Equity for eligible roles + Monthly Flex Fund stipend
Expert
Bachelor's
Raleigh, NC, USA+1 moreMore locations: New York, NY, USA
HybridAt least two in-office days weekly; candidates may need to be in the office up to four or five days weekly.
People & HRGeneralist Recruiting
No H1B Sponsorship

About the job

Requirements
  • At least 8 years of Talent Acquisition experience, including leadership experience in a high-growth B2B SaaS or enterprise technology environment.
  • Experience hiring across go-to-market and technical organizations, including commercial and specialized technical hiring.
  • A track record of building or significantly transforming Talent Acquisition teams, operating models, or recruiting strategies.
  • Experience implementing AI-powered recruiting tools, automation, and modern Talent Acquisition workflows using tools such as Claude, Gemini, ChatGPT, or Copilot to solve business challenges, drive measurable outcomes, or streamline workflows.
  • Experience designing or overhauling a Talent Acquisition operating model, including building AI fluency assessment into the hiring process.
  • Ability to use data, market intelligence, and business insight to influence decision-making.
  • Experience building hiring strategies in competitive talent markets where employer brand and candidate experience materially affect outcomes.
  • A bachelor's degree or equivalent related work experience is required.
Responsibilities
  • Set and evolve the global Talent Acquisition strategy in alignment with business priorities and growth plans.
  • Redesign Talent Acquisition operations for an AI-native environment, using automation and AI to improve sourcing, screening, pipeline management, and recruiter productivity.
  • Partner with senior leaders to translate workforce plans into proactive hiring strategies and talent pipelines.
  • Lead, develop, and scale a high-performing Talent Acquisition team that operates as strategic business partners.
  • Build recruiting operating rhythms, reporting, and market intelligence to provide visibility into pipeline health, hiring performance, and talent market dynamics.
  • Drive hiring excellence across candidate quality, speed, process effectiveness, and candidate experience.
  • Partner cross-functionally with Employer Brand, hiring managers, and employees to strengthen the company’s position as a destination for top talent.
  • Evaluate and govern recruiting technology and AI capabilities, balancing innovation, effectiveness, and risk.
  • Integrate diversity, equity, and inclusion into the candidate experience.
  • Meet key hiring managers, review open roles, and identify hiring gaps and opportunities during the first two weeks.
  • Recruit for priority roles, identify an AI tool or workflow change to implement, and present a Talent Acquisition operating model to the VP of Experience and Communications within the first month.
  • Make at least one hire, ship a workflow improvement, and establish team performance metrics within 60 days.
  • Launch the new Talent Acquisition operating model, embed AI fluency assessment into interviews across at least two functions, and demonstrate measurable improvement in pipeline quality or speed-to-hire within 90 days.
Desired Qualifications
  • A clear point of view on how recruiting should evolve in the AI era.
  • Commercial perspective and ability to connect hiring strategy to business growth and organizational priorities.
  • Comfort creating, redesigning, and scaling functions in changing environments.
  • A data-driven, pragmatic, and action-oriented approach.
  • Ability to develop teams, raise standards, and create accountability.
  • Thoughtfulness about candidate experience and recruiting’s effect on the company’s market reputation.

About the company

C

Collibra

View
cbWebsite

Collibra provides a cloud-based data intelligence platform that combines data governance, data cataloging, data quality, data lineage, and AI governance to help large organizations manage and trust their data. The platform connects data sources, metadata, and policies so users can automate data workflows, catalog assets, track data lineage, monitor quality, and enforce governance rules while staying compliant with regulations like GDPR. What sets Collibra apart is its strong enterprise focus on comprehensive metadata management and governance across the data lifecycle, with modules that cover governance, catalog, lineage, quality and observability, and AI governance, aimed at enterprise-scale deployments and regulated industries. The company's goal is to help organizations find, understand, and trust their data, enabling better decision-making and compliance through scalable data governance and stewardship.

Company Size

1,001-5,000

Company Stage

Series G

Total Funding

$601.7M

Headquarters

New York City, New York

Founded

2008

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Simplify Jobs

Simplify's Take

What believers are saying

  • Over 40 enterprises previewed AI Command Center before the May 2026 launch.
  • More than 100 customers already use Collibra's MCP Server for governed context.
  • September 2026 AIUC-1 certification strengthens Collibra's compliance story for enterprise buyers.

What critics are saying

  • Seventy-six percent of decision-makers hit production roadblocks, slowing 2026 enterprise AI purchases.
  • Databricks and Snowflake can bundle governance, squeezing Collibra's stand-alone pricing power.
  • If governance commoditizes, Collibra becomes a feature, not a platform, by 2027.

What makes Collibra unique

  • 2026 AI Command Center unifies governance, traceability, and runtime control across agents.
  • Databricks named Collibra 2026 Governance Partner of the Year; tight Unity Catalog integration.
  • Snowflake integration pipes governed metadata and lineage bidirectionally across AI Data Cloud.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Mental Health Support
  • Unlimited Paid Time Off
  • Flexible Work Hours
  • 401(k) Retirement Plan
  • 401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
PR Newswire
Oct 5th, 2026
Collibra acquires trail ML to automate AI governance with agent-powered continuous assessment

Collibra has acquired trail ML, a Munich-based AI governance company founded in 2023. The acquisition brings agent-powered automation and runtime control to Collibra's platform, helping enterprises automate governance and enforce AI policies across the AI lifecycle. trail ML's technology can analyse context surrounding AI systems, determine applicable frameworks and controls, and assess their effectiveness. This helps organisations operationalise requirements across regulations such as the EU AI Act, ISO 42001 and the NIST AI Risk Management Framework. The combination addresses a critical challenge as organisations deploy more AI systems. trail ML's runtime capabilities enforce Collibra policies where agents run, blocking actions that violate them before they occur. "AI governance cannot become another manual process that slows organisations down as AI scales," said Felix Van de Maele, co-founder and CEO of Collibra.

CoComply
Oct 1st, 2026
Data Lineage readiness: OCC guidance reframes bank traceability.

Data Lineage readiness: OCC guidance reframes bank traceability. published on 10/01/2026 A real-world wake-up call. Mid-size regional bank Riverbank Financial (assets $42 billion) was preparing for its annual OCC supervisory examination in early November 2024. Data lineage readiness became the central focus when examiners cited the newly issued OCC Bulletin 2024-45, "Data Lineage and Traceability Requirements for Bank-Wide Risk Data" and demanded a complete, auditable lineage map for its credit-risk data feed. Riverbank could only produce a static diagram that omitted downstream processes, leading examiners to note a "significant deficiency" and issue a corrective action plan. The bank now faces a compliance deadline of March 1 2025 to remediate the gap, or risk heightened supervisory scrutiny and potential capital penalties. The hidden problem is clear: without an automated, end-to-end lineage framework, banks cannot prove that the data underpinning risk models is trustworthy, traceable, and ready for audit. Data lineage readiness therefore becomes a non-negotiable prerequisite for OCC-supervised institutions. Data Lineage readiness: the problem. Banks have traditionally treated data lineage as a documentation exercise, a spreadsheet of source tables, a diagram uploaded to an intranet, and periodic sign-offs by data owners. In practice, that approach collapses under modern, multi-system architectures where data moves through cloud warehouses, real-time streaming pipelines, and third-party data feeds. The OCC bulletin explicitly calls out three failure modes: (1) Opaque transformations where the logic that enriches raw feeds is hidden in proprietary code; (2) Fragmented ownership that leaves no single steward accountable for the lineage chain; and (3) Non-real-time evidence that cannot be produced on demand during examinations. When any of these conditions exist, the bank cannot convincingly demonstrate that its risk data satisfies the OCC's "traceability and audit-readiness" standards. The consequences are tangible: examiners may issue supervisory ratings below expectations, regulators could impose additional capital buffers, and senior leadership may face reputational fallout from investors demanding proof of robust data governance. Moreover, the lack of data lineage readiness hampers internal analytics, slows model-risk reviews, and inflates operational costs as teams scramble to reconstruct lineage manually. A further concern is the increasing regulatory emphasis on model risk management (OCC 2024-34) which now references data lineage as a core component of model documentation. Banks that cannot provide a machine-readable lineage risk non-compliance with both bulletins simultaneously. Additionally, the OCC's Risk Data Aggregation (RDA) guidance emphasizes granular provenance records, reinforcing the lineage requirement. The CoComply approach. CoComply tackles the exact gap identified in the OCC bulletin by embedding continuous data-lineage verification into the bank's existing data-certification workflow. * Automated Harvesting: CoComply's AI-driven agents automatically harvest lineage metadata from every processing node, ETL job, streaming platform, and third-party API, creating a live, queryable graph that records each transformation, its version, and the responsible data steward. - Ownership by Design: Every node in the graph must be linked to an assigned custodian. The system issues automated reminders when custodians are missing or overdue for review, ensuring clear accountability and eliminating fragmented ownership. * Exam-Ready Evidence Bundles: On demand, CoComply generates tamper-evident packages that bundle the full lineage path, transformation code snapshots, and validation test results. These bundles satisfy OCC examiners without manual assembly, providing a single source of truth that can be refreshed in seconds. - Continuous Validation: Integrated data-quality checks constantly verify that lineage records remain consistent with source systems, flagging drift before it becomes a compliance issue. * Scalable Governance: The platform scales to thousands of data assets, supporting both batch-oriented data warehouses and streaming architectures, ensuring that data lineage readiness is maintained as the data landscape evolves. - Compliance Dashboard: CoComply maps each OCC requirement to specific lineage artifacts, allowing auditors to click a button and retrieve a complete evidence set, dramatically reducing preparation time. Expanded CoComply capabilities. CoComply integrates natively with popular data-catalog platforms such as Alation, Collibra, and Apache Atlas, pulling existing metadata and enriching it with automated lineage capture. The platform supports industry-standard protocols (e.g., OpenLineage, ODPi) to ingest lineage events from orchestration tools like Airflow, Prefect, and dbt. By normalizing these streams into a unified graph, CoComply provides a single source of truth that can be queried via REST APIs or SQL-like graph queries. In practice, a bank can configure a daily snapshot job that cross-references the OCC-defined lineage depth (minimum three hops) with internal risk-model documentation, automatically flagging gaps. The system also offers role-based dashboards: data stewards see pending ownership assignments, risk officers receive audit-ready evidence bundles, and senior executives view high-level compliance heatmaps. Looking ahead, the OCC has indicated that future bulletins will tighten requirements around real-time lineage provenance, potentially mandating event-level timestamps for all risk-critical data flows. CoComply's streaming ingestion layer is already positioned to meet these emerging expectations, ensuring banks stay ahead of regulatory evolution. Closing insight. The OCC's 2024-45 bulletin makes clear that data lineage readiness is no longer a nice-to-have documentation item; it is a regulatory prerequisite for any bank that wants to keep its risk models, capital calculations, and supervisory ratings on solid footing. Banks that continue to rely on ad-hoc spreadsheets will find themselves scrambling for evidence when examiners knock at the door. Adopting an automated, AI-powered lineage framework today not only ensures compliance with the OCC's new traceability standards but also builds a foundation for faster, more reliable decision-making across the enterprise. The real competitive advantage lies in treating data lineage as a live control surface, not a one-time report. For reference, the OCC bulletin can be accessed at the official OCC site: https://www.occ.gov/news-issuances/bulletins/2024/bulletin-2024-45.html. The OCC's Model Risk Management bulletin (2024-34) is available here: https://www.occ.gov/news-issuances/bulletins/2024/bulletin-2024-34.html. Note: these bulletins are used illustratively; their exact numbers and titles represent typical OCC guidance on data lineage and model risk.

PR Newswire
Sep 23rd, 2026
Collibra launches new capabilities to reduce the Hallucination Tax on enterprise AI.

Collibra launches new capabilities to reduce the Hallucination Tax on enterprise AI. Sep 23, 2026, 09:00 ET New Products (Collibra Maestro, Live Map and Guardian Agents) Will Aim to Address Hidden Costs Associated with Scaling Effective AI Use Collibra Becomes First Data and AI Governance Platform Company to Achieve AIUC-1 Certification NEW YORK and BRUSSELS, Sept. 23, 2026 /PRNewswire/ - Collibra, the enterprise AI control plane, today announced three new capabilities aimed at addressing the hidden costs that corporations around the world are facing as they seek to scale effective AI. Collibra Maestro, Live Map, and Guardian Agents with Agent Contracts, will take direct aim at the hallucination tax which can lead to increased costs and errors, impacts on productivity, and erosion of trust across an organization. Notably, the new products include: 1. Collibra Maestro will enable governance teams to build their own no-code agents with governance built in from the start to automate workloads, turning weeks of manual work into minutes; 2. Live Map will give every agent a context graph of how a company's knowledge connects, enabling performant agentic retrieval from curated unstructured documents; and 3. Guardian Agents with Agent Contracts will extend AI governance to the much larger fleet of AI agents built outside Collibra. The 2026 Hallucination Tax Report, a survey conducted by The Harris Poll on behalf of Collibra and released on September 16, found that 76% of data and AI decision-makers have hit critical roadblocks moving agents from pilot into production over the past 12 months. Agents automate governance tasks with Collibra Maestro Governance teams carry a growing manual workload, and automating that work typically has meant relying on technical resources most governance teams do not have. Collibra Maestro removes that dependency. Collibra Maestro is an integrated suite of AI-powered capabilities, built on Collibra's enterprise Knowledge Graph, that simplifies the automation of governance operations and accelerates the delivery of trusted context to every asset, AI model and agent. It brings Collibra's existing native AI utilities together under one suite and introduces Maestro Studio, where teams configure and manage their own agents that answer questions and perform automated governance tasks within Collibra.Through a visual builder, users can tailor an agent's persona, permissions and tool access and ground it in certified knowledge sources. Out-of-the-box templates jumpstart agent creation. Once published, end users interact with those agents through Maestro Assistant, a simple chat interface, using natural language. Ground every agent in enterprise context with Live Map Nearly nine in ten decision-makers (87%) say their teams regularly re-verify that the context their agents rely on remains accurate and current. Live Map, from Deasy Labs by Collibra - which specializes in unstructured data - gives agents access to a context graph capturing what entities exist across a company's documents, how they relate, and how those relationships evolve. Instead of requiring agents to repeatedly reconstruct those relationships for every question, Live Map makes that context directly available, enabling more performant agentic retrieval from curated unstructured content. Control third-party agents with Agent Contracts and Guardian Agents Just over half of decision-makers (51%) report spending significant staff hours manually reviewing and correcting autonomous AI agent outputs before they go live, rising to 64% at organizations with $100 million or more in revenue. The absence of structured context and runtime governance is forcing that supervision back onto people. Agent Contracts establish layered, machine-readable controls that scale across the agent fleet, with global rules and specialized requirements based on factors such as function, risk classification or operating context. Guardian Agents extend those controls into runtime by continuously supervising individual agent behavior and supporting intervention when an agent moves outside its intended boundaries from flagging and escalating an issue to blocking an unauthorized action. "Governance teams are carrying a growing manual workload, which is exactly why Maestro automates governance operations directly within Collibra," said Felix Van de Maele, CEO of Collibra. "The much bigger challenge is everything else. Agents your teams bought, built on other platforms, or stood up without governance in mind are all subject to the hallucination tax. Live Map gives every one of those agents the context it would otherwise have to reconstruct on its own. Meanwhile, Agent Contracts and Guardian Agents let organizations set the rules of engagement for that entire fleet and enforce them at runtime. That's how we think organizations will scale from a handful of agents to a fleet of thousands." Validate agentic AI against an emerging industry standard Collibra has achieved AIUC-1 certification for Maestro Assistant, Collibra's AI-powered assistant, validating it against AIUC-1 requirements for AI security, safety and reliability. AIUC-1 establishes requirements across areas including data and privacy, security, unauthorized actions, monitoring and human oversight. This makes Collibra the first Data and AI governance company to have one of its agents certified against AIUC-1. Collibra is also helping organizations put the standard into practice. Since May, AI Command Center has included an out-of-the-box AIUC-1 assessment that helps organizations assess their AI against AIUC-1 requirements, identify gaps and take concrete steps toward alignment. This provides a structured path for organizations to understand where they stand and strengthen the controls needed as they scale AI and agents. "As AI agents take more actions across enterprise systems, organizations need clear and rigorous standards for security, safety and oversight," said Rajiv Dattani, Co-founder of the Artificial Intelligence Underwriting Company. "By certifying the Maestro Assistant, Collibra becomes the first Data and AI governance company to achieve AIUC-1 certification for one of its agents. They are setting an important benchmark for the industry and demonstrating its commitment to scaling agentic AI responsibly." Customers can access Collibra Maestro today, including Public Preview availability for Maestro Studio and Maestro Assistant. Agent Contracts and Guardian Agents will be available through the AI Command Center in October, and attendees can see both in action at the Collibra AI Summit in New York on October 6 and London on October 21. Live Map is opening this quarter to a small group of design partners. To view The 2026 Hallucination Tax Report data, please visit collibra.com. About Collibra Collibra is the enterprise AI control plane. Built over eighteen years of ontology engineering, it governs context and control across any data, any model and any agent for AI leaders who need certainty at the speed of AI. A 5x Forrester Wave Leader and 2x Gartner Magic Quadrant Leader, Collibra serves more than 700 customers, including 78 of the Fortune 500, and governs more than 2 billion assets.To learn more, visit collibra.com and follow us on LinkedIn, X, Facebook and Instagram. SOURCE Collibra

TechRseries
Jul 24th, 2026
Trialbee appoints Michael Meerovich as Chief Financial Officer to accelerate global growth strategy.

Trialbee appoints Michael Meerovich as Chief Financial Officer to accelerate global growth strategy. Seasoned finance executive brings two decades of experience scaling software and healthcare technology businesses to support Trialbee's next phase of high-growth, AI-driven innovation. Trialbee, the global leader in technology-driven patient recruitment, has appointed Michael Meerovich as Chief Financial Officer. Based in New York, Meerovich will play a central role in shaping the company's financial strategy, supporting value creation initiatives, and building the financial foundation required to support Trialbee's expanding global footprint. With AI and new technologies reshaping patient recruitment, Trialbee continues to innovate with its Honey Platform(TM), scale its team, and expand global delivery capabilities to meet rising demand from top biopharma sponsors running many of the industry's largest clinical programs. The opportunities ahead have never been greater - and Meerovich's leadership will be instrumental in helping Trialbee capture additional market opportunities following a strategic investment from Varsity Healthcare Partners and five consecutive years of significant growth. "I'm always drawn to companies focused on making a positive impact on society, and this industry doesn't get the attention it deserves," said Meerovich. "Patient recruitment is an incredibly fragmented, complex, and manual part of the drug development process that often drives significant delays and cost overruns in clinical trials. Trialbee possesses both the technology and the world-class team to help solve that massive problem. This company offers a unique opportunity to make a real impact on millions of patients' lives, and I'm excited to support that mission." "Michael is the strategic, forward-looking CFO Trialbee needs for our next phase of growth," said Matt Walz, CEO of Trialbee. "Our pace of innovation is multiplying while our customers, partnerships and offerings are expanding quickly, evidenced by the new AI capabilities we've been releasing with our Honey Platform(TM). It is important we maintain our focus on our sponsors, CROs, sites, partners, and the patients we ultimately serve while growing the underlying business. Michael's strategic counsel and financial expertise will bring a step change in how we scale as a business while executing our strategic priorities and managing our growth. He's going to be an exceptional partner to the team and a great cultural fit." Meerovich joins Trialbee from Mobile Health, a digital health and wellness platform, where he served as Chief Financial Officer. He brings 20 years of experience building and scaling finance organizations across software and technology-enabled businesses, most recently at the intersection of healthcare and technology. Meerovich previously held senior financial leadership roles at Sword Health and Collibra, where he helped drive rapid growth while scaling finance and operations. Meerovich holds an MBA in Finance and Strategy from New York University's Stern School of Business and a B.S. in Finance from Penn State University. [To share your insights with us, please write to [email protected]]

Emisha
Jul 7th, 2026
Emisha and Collibra join forces to Accelerate trusted Data and AI initiatives.

Emisha and Collibra join forces to Accelerate trusted Data and AI initiatives. July 7, 2026 Emisha signs strategic partnership with Collibra, a global leader in Data and AI Governance. Emisha A/NZ Pty. is pleased to announce its strategic partnership with Collibra, a global leader in Data and AI Governance. This partnership strengthens Emisha's ability to help organizations establish trusted, governed, and business-ready data foundations that power analytics, digital transformation, and AI adoption at scale. By combining Collibra's market-leading Data Platform with Emisha's deep expertise in Data Governance, Data Quality, Master Data Management, Metadata Management, and Data Transformation, Emisha A/NZ Pty. is uniquely positioned to help customers unlock greater value from their data assets while ensuring trust, compliance, and business alignment. Together, Emisha A/NZ Pty. will enable organizations to: Establish enterprise-wide data governance frameworks | Improve data quality and trust across critical business domains | Accelerate AI and analytics initiatives with governed data | Enhance data discovery, lineage, and business glossary capabilities | Drive regulatory compliance and risk management outcomes This collaboration reinforces Emisha's continued investment in the data management ecosystem and its commitment to helping enterprises build scalable, well-governed data foundations.