Vetted Forecasting Professionals

Mark Nies

Screened ReferencesStrong rec.

Director-level Talent Acquisition leader specializing in recruiting operations for hypergrowth companies

Florham Park, NJ10y exp

“Talent acquisition leader with deep executive search and recruiting operations experience, including leading teams up to 35 during Teladoc Health’s Livongo acquisition integration. Recently completed a fractional consulting engagement hiring C-suite/VP/SVP leaders and partnering directly with CEO/CFO/founders on strategic decisions. Known for driving measurable process improvements—e.g., building a workforce plan/budget that moved offer approvals from 40% to 100% in 30 days.”

Rory Catinella

Screened ReferencesStrong rec.

Director-level Talent Acquisition & Recruiting Leader specializing in scaling high-growth hiring

Southlake, TX15y exp

“Senior staffing/recruiting operations leader with large-scale, high-volume experience across Amazon and Integrity Staffing, known for building rigorous operating cadences, analytics, and documentation that materially improve productivity and rankings. Also led SaaS-enabled workforce solutions operations at Indeed Flex, implementing strategic account planning that cut high-risk churn by 77% while managing multi-market teams.”

“Operations/finance leader with experience building the operational backbone for fast-growing firms, including setting up recordkeeping, internal controls, and brokerage-specific clearing firm decisions. Helped scale an entity from ~$30M to nearly ~$300M and later modernized consulting-firm expense operations by implementing Concur integrated with ERP, with a hands-on approach to systems selection and change management.”

Lawrence Haley

Screened ReferencesStrong rec.

Director-level Talent Acquisition & Recruiting Operations leader

New York, NY22y exp

“Recruiting leader with experience managing a small team (3 direct reports) and partnering closely with HRBPs and senior leadership to align hiring with team dynamics and culture. Has driven recruiting process improvements focused on streamlining the lifecycle and reducing time-to-fill, and helped implement a junior executive fast-track program sponsored by the company president.”

“Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.”

“People Business Partner Principal/Director at Guild focused on scaling HR infrastructure and organizational excellence. Led a major redesign of a 300-person team, improving efficiency and culture, and implemented Workday and Quinto to enable a new performance review cycle and pay-for-performance bonus plan while advising C-suite leaders on talent strategy and org design.”

Katie Mulryan

Screened

Senior Workforce Analytics Manager specializing in Talent Acquisition and recruiting insights

Plano, TX9y exp

“Talent/Recruiting Operations analytics leader who has owned TA data/analytics, HR tech, onboarding, and HR product teams, managing globally distributed teams up to 13. Notably standardized hiring target-setting across 800+ recruiters using data-driven mathematical models, improving fairness and delivering a 20% headcount save. Experienced in major TA tech transitions (Avature to PhenomPeople) with ownership of data quality, reporting, KPI measurement, and workflow design.”

“Enterprise CSM with experience at IBM and Cloudera, focused on AI and cloud modernization engagements. Drives adoption, renewals, and expansion by building success plans with measurable ROI/usage outcomes, mediating complex stakeholder priorities, and unblocking deployments through tight Product/Engineering/Sales coordination. Also brings strong GTM analytics capability (Salesforce/HubSpot/GA/Tableau/SQL) to improve funnel performance and pipeline conversion.”

“Built and deployed a production RAG-based LLM Q&A and summarization platform for internal documents, emphasizing grounded answers with structured prompting and citations to reduce hallucinations. Experienced orchestrating end-to-end LLM workflows with LangChain plus cloud pipelines (Azure ML Pipelines, AWS), and runs iterative evaluation using both metrics (accuracy/hallucination/latency/cost) and real user feedback to drive reliability.”

“Chief of Staff / cross-functional operator with experience at HighRadius and Darwinbox, building executive operating rhythms (KPI dashboards, pipeline reviews, decision logs, intake/triage) and driving multi-country SE Asia expansion. Uses data-driven prioritization and unit economics (CAC, sales velocity) to align founders/CxOs on tough trade-offs, and has supported a GenAI product launch while managing enterprise escalations without derailing strategic timelines.”

“Apparel product developer/sourcing manager at Linkwear Limited who led high-risk, low-MOQ launches (down to 50 pcs/style) by reverse-engineering samples into tech packs, aggressively vetting/negotiating suppliers, and managing production through QC and shipping. Demonstrated trade-risk hedging (Section 301) via parallel sourcing and hands-on supplier recovery by traveling to Wuxi to resolve a mill bottleneck.”

Priyanshu Maurya

Screened

Mid-level Data Scientist specializing in insurance, finance, and healthcare analytics

New York, NY3y exp

“Built and productionized LLM-driven sentiment scoring for earnings call transcripts at Goldman Sachs, replacing legacy NLP to deliver a cleaner trading signal while managing latency/cost via batching, caching, and distilled models. Also implemented an Airflow-orchestrated fraud modeling pipeline at MetLife with drift-based retraining and SageMaker deployment, and has a disciplined evaluation/rollout framework for reliable AI workflows.”

“Investor/operator-style candidate with investment banking rigor who sources founders through both a 100+ person operator/investor network and internet-driven outbound workflows. They appear strongest in early-stage company sourcing and screening, with examples spanning AI infrastructure, travel tech, construction finance software, and media tech relationships that turned into real pipeline opportunities.”