Key Responsibilities

• Lead multiple concurrent VIK Central use cases end‑to‑end, ensuring consistent analytical rigor, risk identification, and synthesis of insights across initiatives.
• Lead Discovery & Design: map business processes and identify automation opportunities.
• Collaborate with AI engineers, analysts, UX teams, data scientists, and regional partners to align requirements, clarify dependencies, and drive unified execution.
• Identify and design innovative, data‑driven approaches that unlock new insights and solve high‑impact business problems.
• Moves with urgency and clarity, quickly breaking down complex problems and driving forward progress even when information is incomplete.
• Anticipates systemic and cross‑initiative roadblocks, driving resolution through structured trade‑offs, escalation, and alignment with senior stakeholders.
• Review and validate analytical outputs across teams, ensuring insights are defensible, consistent, and tailored to stakeholder decision‑making needs.
• Ensure consistent application of data‑quality standards across initiatives, reinforcing best practices and accountability for analytical rigor.
• Own reconciliation workflows across multiple data sources verifying consistency, tracing discrepancies to root causes, and partnering with engineering or system owners to drive timely resolution.
• Promote reuse and standardization of automated data‑quality checks, reducing rework and improving reliability across VIK Central analytics.
• Surface data‑quality risks early, assess their business impact, and drive cross‑functional actions that maintain accuracy across fast‑evolving datasets and processes.
• Influence decision‑making by distilling analytical findings into concise recommendations
• Maintain alignment across teams and initiatives, ensuring execution remains consistent with agreed priorities and roadmap commitments.
• Continuously evaluate and refine analytical processes, documentation standards, and review workflows.
• Reinforce operational discipline across multiple workstreams, balancing delivery speed, quality, and risk management.
• Identify and document risks related to data quality, model feasibility, business logic, process scalability, and regulatory considerations.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 

Basic Qualifications:

• 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications:

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Strong data‑diagnostics capability, with the ability to investigate anomalies, perform root‑cause analysis, and reconcile data across multiple systems with precision.
• Ability to set execution direction and sustain momentum across teams, even amid competing priorities.
• Comfort managing shifting priorities across initiatives, balancing short‑term execution with delivery commitments.
• Expertise in translating ambiguous business questions into structured analytical frameworks, clearly defining metrics, requirements, and expected outcomes.
• Strong consultative skills, able to deeply understand stakeholder needs, pressure‑test assumptions, and guide partners toward data‑driven decisions.
• Consistently applies sound judgment across complex, ambiguous initiatives, helping teams navigate uncertainty.
• Comfort operating in ambiguity, rapidly structuring problems, prioritizing effectively, and driving clarity where information is fragmented.
• SQL and Python proficiency to extract, transform, analyze, and validate complex datasets, ensuring analyses are accurate, scalable, and repeatable is a plus.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This 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.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for this position is 149,800.00 to 240,100.00 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.