Manager, Data & Context Governance

About BetaNXT

BetaNXT is a leading provider of frictionless wealth management infrastructure, real-time data solutions, and an enhanced advisor experience. We invest in platforms, products, and partnerships to accelerate growth for the ecosystem we serve. Our connective approach empowers our clients to deliver a comprehensive, end-to-end advisor and investor experience.

BetaNXT is a leading provider of frictionless wealth management infrastructure, real-time data solutions, and an enhanced advisor experience. We invest in platforms, products, and partnerships to accelerate growth for the ecosystem we serve. Our connective approach empowers our clients to deliver a comprehensive, end-to-end advisor and investor experience. BetaNXT is a premier provider of technology, data, and operations as services to a rich client base of wealth managers, institutional wealth firms, and digital brokers, providing end-to-end solutions across the investment lifecycle.

BetaNXT is expanding its data governance function to meet the demands of a rapidly evolving data and AI landscape. We are seeking a Manager, Data & Context Governance to build and lead a team of data stewards and integration specialists responsible for both traditional data governance and a new, equally critical discipline: context governance — ensuring the information, definitions, and business context that power our AI and LLM-driven systems and products are accurate, complete, and trustworthy.

This Manager will hire, lead, and develop a dedicated team, with each team member aligned to a functional business domain, owning governance outcomes for both structured data assets and the context that drives AI-generated outputs.

Beyond installing sound governance practice, this Manager is expected to operate as a strategic partner and execution driver across BetaNXT’s active data and AI initiatives — working hands‑on with project teams to ensure governance is built into delivery from the start, not bolted on afterward.

• Build, lead, and develop a team of data stewards and integration specialists, each aligned to a functional business domain (e.g., Trading, Accounts, Positions, Pricing) as their primary partner area.
• Define role clarity, workload distribution, and performance expectations for team members covering both traditional data governance and context/AI governance responsibilities.
• Serve as the escalation point and quality bar-setter for team output across all domains, owning the end-to-end result even where day-to-day work is delegated.

• Develop and execute a data governance strategy that spans structured data assets and the broader context assets (definitions, business rules, taxonomies, knowledge sources) that feed AI and LLM systems and products.
• Partner directly with product, architecture, and business stakeholders across data and AI initiatives (including the Data Integration Hub) to embed governance requirements into project planning and execution, rather than governing after the fact.
• Own strategic direction for the data governance tooling, ensuring it is configured and maintained to achieve intended data governance and context governance outcomes (module ownership sits with this Manager; platform architecture is owned separately within the team).

• Establish governance practices for the context that drives AI/LLM outputs, including:
• Curating and maintaining the knowledge sources, definitions, and business rules that feed AI/LLM systems and products.
• Overseeing validation and quality review of AI-generated outputs against approved source context.
• Establishing governance standards for prompt and agent‑instruction design where it affects output accuracy and consistency.
• Define what “good context” looks like for each business domain and ensure the team applies consistent standards across domains.

• Design and operationalize a dedicated stewardship model, with clear roles, responsibilities, and processes across both data and context governance.
• Define domain‑alignment structures that connect each team member to…