The New Era of Hiring: How to Make it Personal, Equitable, and Fast
From transforming passive talent pools into engaged communities, to using AI as a smart assistant, this new wave of recruitment puts people first while turbocharging efficiency. Today’s hiring leaders are reimagining recruitment as a strategic, personalized, and inclusive journey. At From Day One’s NYC half-day TA conference, panelists shared how they’re harnessing technology, data, and genuine human connection to rewrite the rules of hiring. Here’s what industry insiders are saying about creating hiring experiences that truly work for candidates and employers.From Talent Pools to Talent CommunitiesWhen it comes to sourcing strategies, Jessica Malachowski, VP of direct sourcing and strategic talent acquisition resources at Atrium, sees a clear difference between traditional talent pools and emerging talent communities. And for her, it’s not just semantics—it’s strategy.“If you think about the words itself, a talent pool versus a talent community—a community is where you belong,” Malachowski said. “There’s a level of engagement that happens because you feel like you belong.”That sense of belonging is what drives the effectiveness of talent communities. Rather than collecting resumes for future openings, talent communities are about building meaningful relationships with candidates over time. It’s an active process, one that involves branding, communication, and providing ongoing value. “Maybe they get a newsletter. Maybe there’s some marketing engagement that you’re giving to them,” she said. “It’s truly about building that relationship and ensuring that you’ve got quality people that are part of that community, that are truly on the ready.”This evolution in approach requires TA leaders to think more strategically—and to have a seat at the table. “If we can align our goals with the business goals, they’ll reserve us a spot at the table,” she said. Preparedness is key. When recruiters invest in two-way relationships with talent, they’re more likely to have qualified, interested candidates ready when roles open. It’s a shift that’s making sourcing more personalized, inclusive, and ultimately, more effective.Embracing Data-Driven Hiring to Support Candidates and Recruiters AlikeKim Stevens, director of talent acquisition at Employ, knows firsthand how challenging today’s hiring landscape is—for both recruiters and candidates. “There’s a ton of people that are in the job market, and in comparison to the jobs, the candidate pool is exponentially higher,” she said. “Recruiters need something to help automate communications to candidates.”This imbalance has sparked a greater reliance on data and AI to bring efficiency and empathy into the hiring process. Stevens herself was a job seeker for nearly a year before joining Employ, and that experience informs how she approaches her work. “It was defeating. You’re kind of viewed as just a piece of paper,” she said. “It’s not a recruiter’s fault, it’s just the landscape right now.”Kelly Bourdet, the founder of Apparata Media, far left, moderated the discussion At Employ, which owns platforms like Lever, Jobvite, and JazzHR, Stevens is helping shape how technology can drive more intentional, inclusive hiring. With the recent acquisition of Pillar AI, Employ is adding tools that not only transcribe interviews but also help deliver feedback and better match candidates to roles. But data is only powerful when it’s used well. Stevens emphasized the importance of reviewing candidate source data to track diversity metrics and refine outreach strategies. Ultimately, the role of AI and data not just as a way to fill roles faster, but as a means to support people, says Stevens. “Our audience is overwhelmed,” she said. “We just need to be there to support, coach, and guide.”Skill-Matching Technology New York Life is harnessing AI-powered skill-matching tools to enhance the recruiting process for both candidates and hiring teams. With more than 100,000 applicants for just 1,400 positions last year, Glenn Padewski, head of experienced hiring and executive search, understands the scale of the challenge—and the opportunity. “It’s easier to get into Harvard than it might be to get a job at New York Life based on those numbers,” he joked.To address this imbalance, Padewski’s team implemented skill-matching technology designed to elevate the experience across the board. “On the candidate side, they drag and drop their resume into the system, which then aligns them with other jobs in the organization that may be a fit,” he said.. “So not only are they seeing that one job they were initially attracted to, now they’re seeing other potential matches.” This broadens opportunities for candidates while creating a more personalized application journey.The tool also empowers recruiters by prioritizing candidates based on how closely their skills and attributes align with open roles. “This allows our recruiters to spend time with the candidates who are most closely aligned to that job description,” Padewski said. “They're stopping right at our applicant tracking system and seeing who's qualified.”Hiring managers also benefit, with streamlined tools to review and disposition candidates directly. “They can thumbs-up or thumbs-down right within the tool, triggering the recruiter to move them through the process or send a rejection email, providing immediate feedback.”The result? Faster interview scheduling, smarter hiring decisions, and a better experience for everyone involved. “We’re seeing now, from the time we’re interested in interviewing a candidate to the time they interview, it’s less than four days,” he said. Balancing Data With Storytelling Cassandre Joseph, global head of talent acquisition for R&D at Novartis, emphasizes the evolving role of technology in recruiting, especially the growing influence of AI, and the critical need to blend data with human storytelling. “There’s no more burying your head in the sand as it relates to AI,” she said. “At some point, everyone in talent acquisition needs to get started somewhere.” Joseph acknowledges that while the pace varies by organization, the first step is essential.Yet, she cautions against blind adoption of technology. “I get tons of emails about new AI tools promising to solve all our problems. But we know our companies and how they operate, and not every technology is the right technology for you.” Her advice is clear: organizations must be laser-focused on what works and cut loose what doesn’t—quickly. “If you don’t, you waste time and energy integrating a tool that actually doesn’t fit your company.”Joseph emphasized the indispensable role of the human element alongside AI. “It’s no longer enough to just look at resumes or ask basic questions. You have to understand what hiring managers truly want and align that with candidate evaluation.” She highlights that human connection and cultural fit, assessing values and behaviors, remain central: “Those questions about values and behaviors are going to be very important as we bring in technology.”Data alone doesn’t tell the full story. “If I tell you we fill roles in 40 days, and someone else says 60 days, so what? Is it quality versus quantity? Filling quickly doesn’t always mean better hires. That’s where storytelling comes in.” Talent acquisition professionals must bridge the gap by combining data insights with narrative to truly understand and communicate hiring success.AI as a Strategic ToolSteve Lavner, SVP of talent acquisition at Edelman, says AI is not a replacement, but a powerful assistant in the recruitment process. “AI is our assistant. I’m actually able to talk to AI and have the conversation about a particular search or candidate and get meaningful information back,” he said. This conversational interaction with AI tools opens new doors for recruiters to gather insights and speed up their workflows without losing the human touch.Lavner emphasizes the importance of transparency in managing candidate relationships alongside AI. “As long as we tell candidates this is part of a pipeline, and they understand that we want to get to know them, maybe not now, but maybe in five years, it creates trust and keeps the communication open.” This approach not only respects candidates but also builds ongoing connections in competitive fields, like financial communications, where knowing the right people matters.Despite the exciting possibilities, Lavner cautioned against ignoring the risks and biases AI can introduce. “We have to be aware that there could be bias in AI. The human part is crucial here. We must ensure diverse slates and keep pushing for diverse hires.” He separates diversity and inclusion from politics, focusing instead on tangible outcomes: “Sameness is not good. We want a diverse group. That’s what we do, and that’s what we have to keep doing.”Lavner called for vigilance: “The law of unintended consequences comes to mind. We have to stay diligent and keep this human, because unexpected issues will come up.” In his view, AI is a strategic tool that, when combined with skilled human recruiters, can transform talent acquisition, helping to identify the right candidates while maintaining the essential human connection at the heart of recruitment.As the talent acquisition landscape continues to transform, success hinges on blending innovative technology with authentic human engagement. By fostering inclusive talent communities, embracing data with purpose, and using AI as a strategic assistant rather than a replacement, organizations can create recruitment processes that are not only efficient but truly candidate-centric.Carrie Snider is a Phoenix-based journalist and marketing copywriter.(Photos by Hason Castell for From Day One)
Carrie Snider
June 12, 2025