Workforce Management Scheduling Analyst 2

Detalles de la oferta

Workforce Management Scheduling Analyst 2 Remote - Colombia See yourself at Twilio Join the team as Twilio's next Workforce Management Forecasting Analyst 2! Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. About the job We are seeking a highly skilled and experienced Workforce Management (WFM) Forecasting Analyst Specialist to join our Global Operations team. The ideal candidate will have a deep understanding of workforce management best practices, demonstrated expertise in building and documenting scalable processes, and a proven track record in leading change management initiatives. As the landscape of support operations rapidly evolves with the integration of AI and automation, we are seeking an innovative and data-driven Workforce Management (WFM) Specialist to lead the charge. This role requires not just a mastery of traditional WFM practices, but also the ability to analyze, forecast, and optimize in a dynamic, AI-enhanced environment. Responsibilities In this role, you'll: Lead the design, development, and implementation of workforce management processes and procedures. Document end-to-end WFM workflows, ensuring clarity, scalability, and compliance with industry standards. Regularly review and update WFM documentation to align with changing business needs and technological advancements. Analyze the impact of AI-driven solutions such as virtual agents, chatbots, and automated ticket deflection on workforce requirements, productivity, and cost efficiency. Develop sophisticated models to predict and calculate the effect of AI integration on staffing needs, contact volumes, and service levels. Stay up-to-date with emerging AI trends and their implications for workforce management, providing proactive recommendations for future staffing strategies. Utilize AI-enhanced tools to refine workforce forecasting, ensuring accurate predictions in both traditional and AI-driven contact environments. Build and maintain dynamic forecasting models that account for automation trends, virtual agent growth, and shifts in customer interaction preferences. Regularly evaluate and adjust workforce plans based on performance and other ticket deflection strategies. Partner with cross-functional teams to implement advanced WFM solutions, focusing on optimization through AI and automation. Identify opportunities to streamline processes using AI-driven tools, reducing manual intervention in workforce scheduling, real-time management, and long-term planning. Ensure WFM processes are agile, able to adapt to the evolving role of human agents alongside AI counterparts. Present comprehensive reports and recommendations to senior leadership, using data to drive strategic workforce decisions. Lead change management initiatives focused on the integration of AI and automation within the contact center, ensuring alignment between WFM and broader business objectives. Communicate effectively with key stakeholders, ensuring transparency in how AI-driven decisions are impacting the workforce and business goals. Regularly assess the ROI of AI initiatives, making adjustments to workforce models to maximize efficiency and service levels. Generate business presentations for weekly meetings to share performance data and improvement plans with stakeholders. Conduct weekly/monthly/quarterly business meetings with internal stakeholders, vendors, and clients to review KPIs and service level trends, provide deep-dive analysis, and propose mitigation plans to meet service level objectives. Qualifications Required: Bachelor's degree in Business, Data Science, Operations Management, or a related field. 3+ years of experience in workforce management with a focus on contact center environments, AI-driven tools, and automation solutions. Experience with WFM software and analytics platforms, with proficiency in AI-enhanced WFM tools (e.g., NICE, Calabrio, Verint, or similar platforms). Advanced skills in data analysis, modeling, and the ability to translate complex data into clear, actionable insights. Proven ability to manage change in a fast-paced, technology-driven environment, with a focus on innovation. Exceptional communication and presentation skills, with experience influencing senior leadership. Demonstrated ability to work cross-functionally and drive strategic workforce decisions in an AI-enhanced environment. Understanding of virtual agents, AI-driven ticket deflection, and their impact on workforce metrics. Location This role will be fully remote and based in Colombia. Travel For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer There are many benefits to working at Twilio, including competitive pay, generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! Equal Opportunity Employer Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. #J-18808-Ljbffr


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