Job DescriptionThe People Analytics & Workforce Planning team helps Visa make data-driven decisions about its most important asset: its people. As part of the Consulting Insights & Analytics organization, the Manager, People Analytics Consulting, Insights & Enablement will help shape the future of People Analytics by combining strategic consulting, workforce intelligence, analytics enablement, data storytelling, data governance, automation, privacy & risk, and emerging technology to solve complex workforce and organizational challenges.
The ideal candidate is a curious, resilient problem solver who thrives in ambiguity, understands or is eager to learn how organizations work, and is excited by the potential of AI to transform how work gets done. They pair analytical thinking and technology-enabled problem-solving with a genuine passion for people, organizations, and workforce decision-making. They are comfortable supporting senior leaders, managing multiple deadlines across deliverables, owning client-facing workstreams, building practical solutions, and translating data into insights that clarify the "so what" to help leaders take action. Most importantly, this is a role for someone who enjoys solving meaningful problems that impact people.
This role requires strong aptitude for data, technology, automation, and AI-enabled ways of working, with the ability to build workflow automations, AI-enabled analytics experiences, playbooks, and scalable tools. Experience with Power BI, Power Automate, Power Apps, Claude Code, Microsoft Copilot, or similar technologies preferred.
Responsibilities
Consulting, Analytics, and Partnership
- Support Senior Consultants, Director, and Senior Director in fulfilling workforce analytics requests, consulting engagements, and business priorities.
- Own select stakeholder relationships and serve as a day-to-day consulting partner for defined People and business client groups.
- Partner with People partners and business leaders to intake, scope, prioritize, and translate workforce questions into actionable insights, recommendations, dashboards, or scalable solutions.
- Communicate insights, data limitations, and solution tradeoffs clearly to technical and non-technical audiences.
Reporting, Automation, and AI-Enabled Solutions
- Build and improve dashboards, reporting tools, analytics products, workflow automations, AI-enabled prototypes, and scalable decision-support resources.
- Use tools such as Power BI, Power Automate, Power Apps, Claude Code, GitHub Copilot, Microsoft Copilot, or similar technologies to improve efficiency, stakeholder experience, and scalable delivery.
- Identify opportunities to streamline recurring requests, intake processes, approvals, notifications, insight delivery, and stakeholder workflows through automation and AI-assisted tools.
- Explore and prototype AI-enabled analytics experiences, including conversational analytics, AI-generated insights, agent-based navigation, guided workflows, and automated recommendations.
Enablement, Governance, Privacy, and Risk
- Drive adoption of People Analytics products, dashboards, automations, insights, and decision-support resources through playbooks, documentation, training, and enablement sessions.
- Coach team members and partners on consulting, analytics storytelling, product adoption, workflow automation, responsible AI use, and scalable ways of working.
- Partner with enterprise Data Governance, Privacy, Risk and People COE teams to strengthen data quality, stewardship, metadata, definitions, documentation, and consistent reporting practices.
- Support responsible workforce analytics, AI-enabled products, quality review, validation, adoption readiness, data literacy, and clear communication of data limitations.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
QualificationsBasic Qualifications:
- 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
Preferred Qualifications:
- 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
- 6+ years of relevant work experience or an equivalent combination of advanced education and experience.
- 6+ years of experience in analytics, workforce intelligence, industrial-organizational psychology, organizational effectiveness, strategic workforce planning, human capital or management consulting, business strategy, product, engineering, data, technology, automation, governance, privacy, risk, or related disciplines.
- Bachelor's degree or relevant experience in a data-centric area such as Industrial-Organizational Psychology, Organizational Behavior, Business Analytics, Economics, Statistics, Data Science, Computer Science, Engineering, Information Systems, or a related field; MBA or advanced degree a bonus.
- Applied experience with low-code, process improvement, AI-assisted development tools such as Power Automate / workflow automation, Claude Code, Microsoft Copilot, or similar technologies.
- Strong consulting, communication, stakeholder management, and executive presentation skills, with experience supporting senior leaders, consultants, or directors on analytics, consulting, or client-facing work.
- Demonstrated ability to own stakeholder relationships, manage expectations, intake and prioritize requests, and serve as a day-to-day consulting partner for defined business or client groups.
- Demonstrated ability to navigate ambiguity, solve complex problems, manage multiple priorities, and deliver high-quality work with strong attention to detail.
- Strong aptitude for workforce analytics tools, dashboards, data products, automation, AI-enabled analytics, AI-assisted development tools, and scalable reporting solutions.
- Experience building or improving dashboards, UX/UI, reporting tools, analytics products, workflow automations, enablement resources, AI-enabled prototypes, or scalable decision-support solutions.
- Familiarity with Power BI, workforce reporting, data visualization, metric definitions, and self-service analytics concepts.
- Experience with Workday, workforce data, enterprise HR systems, data governance, privacy, risk, or related platforms strongly preferred.
- Curiosity and practical understanding of how emerging technologies, particularly AI, automation, low-code tools, and AI-assisted development, can improve analytics delivery, stakeholder experience, and team productivity.
Information for US ApplicantsFor roles located in the US, the estimated salary range for this position is $109,800.00 to $ 175,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work HoursVaries upon the needs of the department.
Travel RequirementsThis position requires travel 5-10% of the time.
Mental/Physical RequirementsThis position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
