Modern careers no longer follow a straight line. Ambition, leadership, and success now evolve alongside life realities, non-linear paths, and broader definitions of impact, while AI continues to reshape how organizations understand talent, skills, and potential. Women, in particular, navigate careers shaped by transitions, pauses, reinvention, and multiple identities. Yet many organizational systems and leadership models still rely on outdated, linear frameworks, failing to reflect both human complexity and the responsible use of AI.

At Artefact, we believe leadership, data, and innovation must be human-centered. In celebration of International Women’s Day, we are hosting a special edition of Women@Artefact Afterwork, bringing this global initiative to the Netherlands. This event is open to everyone, including male allies, because inclusive leadership and forward-looking careers benefit from diverse perspectives.

The session will feature Berber Rienks, Artefact’s newly appointed Partner in Northern Europe, alongside Fleur van Beem (ex-Executive Team at VodafoneZiggo, ex-Bain,  Ariane Bonke (Head of Information Management, Security & Compliance at KPN) and Sid Mohan (Sr. Director Data Science & AI). Together, they will share real-world experiences, use cases, and actionable strategies, illustrating how AI can support inclusive, human-centered leadership and talent practices.

What we’ll cover during the session

  1. How non-linear careers strengthen organizational performance: Learn strategies to retain and grow high-potential leaders after career breaks or role pivots, leveraging skills-based mobility and internal talent pipelines.
  2. How AI and data unlock better, fairer business decisions on talent: Explore AI tools that reduce bias, improve hiring and mobility, and enable skills-based workforce planning aligned with business goals.
  3. Why resilience and soft skills are critical to sustainable leadership: Discover how adaptability, emotional intelligence, and confidence drive leadership effectiveness, team performance, and long-term organizational impact.
  4. How visibility and sponsorship drive measurable business value: See how authentic leadership, strategic visibility, and active sponsorship accelerate decisions, strengthen succession, and link talent to results.

Who is this session for?

This session is tailored for business executives, transformation leaders, and people development professionals, who want to merge leadership insights with practical AI applications to create meaningful impact in their organizations.

PS. To ensure a high-quality panel discussion, spots are limited. We look forward to welcoming you!

Speaker(s)

Berber Rienks

Berber Rienks, Partner Northern Europe

Artefact

Berber is a Data & AI leader with over 15 years of experience driving digital transformation at Deloitte, PwC, Accenture, Atos, and Artefact. She specializes in turning data and AI into tangible business impact while helping organizations navigate complexity, build trust in data, and unlock the potential of their people.

Fleur van Beem

Fleur van Beem, ex-Executive team VodafoneZiggo, ex-Bain, SER Topvrouwen

VodafoneZiggo

Fleur van Beem is a seasoned executive and former Partner at Bain & Company, with extensive experience leading strategy, transformation, and high-performing teams. As part of VodafoneZiggo’s executive team, she drove innovative projects and large-scale change while championing diversity and women in leadership through her work with SER Topvrouwen. Fleur combines strategic insight, operational expertise, and a passion for empowering teams to deliver meaningful impact.

Ariane Bonke

Ariane Bonke, Head Information Management, Security en Compliance

NWO (Dutch Research Council)

Ariane Bonke brings over a decade of experience in data strategy, analytics, and digital transformation, with senior roles at LUSH, KPN, and UPC Nederland. She is an active member of SER Topvrouwen and local educational boards, driving data-driven decision-making and organizational excellence.

Sid Mohan

Sid Mohan, Sr. Director Data Science US & Northern Europe

Artefact

Sid is a Senior Director of Data Science & AI at Artefact with over 7 years of experience, progressing from Senior Data Scientist to leading global initiatives in Marketing Measurement, Causal Inference, and Agentic AI. He specializes in interpretable, explainable AI and causal modeling, and has led high-impact programs across Financial Services, Luxury, Pharma, and Consumer Electronics. He also focuses on reasoning and inference for LLM-based and Agentic AI systems. Sid is recognized for his technical leadership, problem-solving mindset, and strong commitment to Responsible AI.