Built by People Leaders
Dom Dib is Head of Human Resources at Maplewave, a technology firm that won the Digital Nova Scotia Talent Champion Award and recognition as one of the best places to work in Atlantic Canada. Dom runs a two-person HR team supporting a globally distributed workforce across Canada, South Africa, and the Middle East, and his core operating principle is "Continuous Curiosity" — a company value that drives both product innovation and how his team adopts AI. After 20 years in HR, starting in retail sales management, Dom treats automation as a way to remove administrative load so the team can focus on strategy. This episode addresses the friction point People leaders hit between 100 and 1,500 employees: informal communication stops working, leadership can no longer oversee everything directly, and a small People team must scale culture and decision-making without scaling headcount. Dom Dib explains the specific systems Maplewave built to solve this with two people. Challenges Addressed * Scaling a lean People team across borders: Dom Dib runs HR for a globally distributed company with only two people, requiring standardized processes and intentional connectivity instead of in-office proximity. * Preserving culture and psychological safety in remote/hybrid setups: Maplewave lost natural in-person connection during the COVID transition and had to rebuild it deliberately across time zones. * Keeping human judgment in AI-assisted talent decisions: Dom Dib stresses that AI at Maplewave produces recommendations only, and personal employee data is never fed into AI systems for assessment. Actionable Takeaways 1. Map behavioral interview questions to each core value: For "Continuous Curiosity," Dom Dib's team asks candidates how they stay current with technology and whether they use AI in their work, so cultural fit is measured, not assumed. 2. Automate 30/60/90-day check-ins for both sides: Maplewave sends automated survey links to new hires and managers on each milestone, then uses AI to analyze sentiment on satisfaction, psychological safety, and onboarding gaps. This surfaces relationship and training gaps without manual tracking. 3. Build AI learning paths from de-identified role data: Have leaders map skills and competencies per role, then let AI recommend training against those gaps. Dom Dib confirms Maplewave uses only role-based data, never personal employee data, and advises checking privacy laws first. Questions This Episode Answers * How do you scale HR across multiple countries with a tiny team? Dom Dib relies on process standardization and rollout so every location knows the same values, tools, and processes. Maplewave also assigns intentional connectivity work to keep distributed teams aligned, a practice that became critical during COVID. * How can you use AI in talent development without violating privacy laws? At Maplewave, leaders first map role competencies, and AI recommends training only against that de-identified, role-based data. Dom Dib advises checking your jurisdiction's privacy laws before deploying AI in any talent assessment or screening. * How do you get leaders to buy into HR initiatives? Dom Dib leads by giving the end result and ROI first, then explaining the work, rather than telling the full story upfront. He frames HR as a partner that enables leaders, defining its own success by the success of leaders and employees. Links & Resources Mentioned: * Connect with Dom Dib [https://www.linkedin.com/in/dom-dib-cphr-shrm-scp/] on LinkedIn * Email Dom Dib directly: dom.dib@maplewave.com [dom.dib@mapleware.com] * Maplewave website: www.maplewave.com [http://www.maplewave.com]
31 episodios
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