Chief Data Officer

Company Description Niphala supports businesses in evaluating the cognitive and foundational capabilities of advanced AI systems to ensure reliable and smooth operation. The company focuses on helping organizations understand how AI behaves in real-world settings, identifying strengths, risks, and performance gaps. By combining technical insight with operational rigor, Niphala enables clients to deploy AI solutions with greater confidence and control. Its work is centered on enhancing trust, safety, and effectiveness in AI-driven business processes.
Role Description The Chief Data Officer (CDO) is a full-time remote role responsible for defining and leading Niphala’s data strategy across the organization. The CDO will oversee data governance frameworks, policies, and standards to ensure responsible, secure, and compliant use of data in evaluating advanced AI systems. Day-to-day responsibilities include managing enterprise data assets, guiding data quality initiatives, and collaborating with product, engineering, and research teams to align data practices with business and client needs. The CDO will design and implement data architectures and processes that support robust analytics and data science, including data collection, integration, and modeling for AI performance evaluation. This role will also involve communicating data insights to senior leadership and clients, shaping data-driven decision-making, and building and mentoring a high-performing data function.
Qualifications
Strong Data Governance skills, including experience establishing policies, standards, and stewardship practices.
Proficiency in Data Management and Data Quality, with a track record of designing and maintaining scalable, reliable data ecosystems.
Advanced Data Science and Analytical Skills, including statistical analysis, modeling, and translating complex findings into actionable insights.
Demonstrated leadership in data strategy, with experience overseeing cross-functional data initiatives and managing data teams.
Background in AI, machine learning, or related fields, preferably with exposure to evaluating or monitoring AI systems in production.
Excellent communication and stakeholder management skills, with the ability to work effectively in a remote, distributed environment.
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related discipline, or equivalent professional experience.
Familiarity with data privacy, security, and compliance frameworks relevant to AI and enterprise data is highly beneficial.

Work arrangement
Yes