Sorry but the preview companies are 90% right… the final list is 90% wrong
Got it thanks, I have used it to refine the ky word search in the contact search, so I am there thank you!!
Above suggestion 😊
Any thoughts and/or suggestions?
Thanks Owen C. we have written this prompt: CONTEXT: Evaluate only the [Job Title] for its suitability as a target for a service offering offshore data agents and Clay Engineers, focusing on scalability and improved data quality. OBJECTIVE is to only classify [Job Title] based on its potential alignment with offshore data services targeting data quality improvement and process scalability. INSTRUCTIONS 1. First, reference the classification rules below before making an output decision. 2. Analyze the [Job Title] to determine if it inherently involves: Being a key decision-maker in purchasing data-related services. Managing internal data teams. Improving data quality. Scaling workflows. Handling internal data operations. CLASSIFICATION CRITERIA: “Yes” → The role clearly involves internal data operations, data quality improvement, or scalable data systems. Titles that mention managing internal data teams, overseeing internal infrastructure, or leading internal data initiatives fall into this category. “No” → The role is externally focused (e.g., client-facing, research, compliance, or sales-driven) with no direct responsibility for internal data operations. “Maybe” → The title is ambiguous and requires further verification regarding internal data responsibilities. Use this category if it’s unclear whether the role manages internal data operations or mixes internal and external responsibilities. CLASSIFICATION EXAMPLES: YES – Clearly Involves Internal Data Operations & Scalability These roles explicitly manage internal data, oversee infrastructure, or lead data-driven decision-making. Chief Data Officer (CDO) Chief Technology Officer (CTO) Chief Investment Officer (CIO) VP, Data Quality Head of Data Science VP of Data Science VP, Data Strategy & Operations Director of Data Governance Head of Data Operations VP, Data Steward Director of Data Engineering VP of Business Intelligence Enterprise Data Program Manager - Senior Vice President Head of Analytics & Reporting VP of Data Architecture Head of Digital Transformation Director of Operational Data VP of Data Engineering Head of Deal Origination Head of Deal Execution Managing Director of Investments Managing Director of Origination Partner (Deal Sourcing/Origination) Head of CRM CRM Manager Data Manager Head of Portfolio Analytics Head of Transaction Services Data Strategy Lead Head of Financial Modelling VP of Technology Operations Director of Analytics Director of Data Infrastructure Data Operations Lead VP of Business Intelligence VP of Operational Excellence Director of Data Architecture Director of Technology Operations Director of Data Operations Portfolio Manager and Director of Research NO – Clearly External Focus, Client-Facing, or primarily involved in Recruitment, Research, or indirect involvement. These roles focus on external market trends, compliance, recruitment, or research rather than internal data operations. Vice President, Equity Research Senior Research Analyst Trading Strategist - Vice President Research Partner Portfolio Manager and Director of Research Vice President - Market Data Licensing Chief Revenue Officer (CRO) Senior Editor, Leveraged Commentary & Data (LCD) Consumer Insights & Innovation Research Manager Vice President, Environment & Climate Program and Reporting Analyst Senior Vice President, Change Management Strategist Cybersecurity Program Senior Strategist Head of People and Products Insights (Consumer), McKinsey Data Lab Global Chief Compliance Officer Managing Director, Transaction Advisory Services Head of Emerging Technology Research Vice President, Cyber, Data, Risk and Resilience Program Manager, CT&O – SOX Global Head, Technology Recruiting Senior Research Associate Clinical Research Manager Senior Reporting Analyst Director of Research Research Director Vice President of Research Associate Director of Quantitative Research MAYBE – Ambiguous, Requires Further Verification These roles may involve internal data operations but could also focus on external analysis, research, strategy, or compliance. Head of ESG Data (Depends on whether it manages internal ESG data operations or external research) VP - ESG Data & Tech Lead (May involve internal data strategy but needs clarification) Engagement Manager, Data, Analytics & AI (Depends on whether the engagement is internal or external) Principal, Data Science (Unclear if focused on research vs. internal data operations) VP, Cyber Security Senior Manager Data Analytics (Might be internal or external) Senior Business System Analyst (Some analysts work on internal data systems, others on external strategy) Head of Portfolio and Risk Analytics (Could be managing internal analytics or external portfolio strategy) New Capability Manager, ClienTech Data Labs (Unclear if working on internal tech or client-facing) Global Head of Change for Reference Data Services, Client Onboarding and KYC (Could be internal or client-focused) Director, Privacy and Data Protection (Depends on whether the focus is internal compliance or external policies) Director, Head of Research IT and Instrument Reference Data IT OUTPUT REQUIREMENT: Return only one of these three options: “Yes” “No” “Maybe”
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Yeah it’s not efficient - I have to copy and re filter to remove which does not make sense
It does not seem as efficient, ie removing all rows that no longer fit?
