Data Operations Lead

Irvine, United States | Posted on 09/21/2026

AuxoAI is a global platform-based services firm. We help companies turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance operations,improve customer experiences, and provide clear, actionable insights from theirdata.

We work across industries such as healthcare, high-tech, consumer packaged goods (CPG), finance, and more across sales, marketing, and customer support functions. We help our clients accelerate their digital and AI journeys through:

• AI Application Development
• Data, Digital and Cloud acceleration using AI
• AI Native Product Engineering

We are looking for an AI-native Data Ops Lead to own the end-to-end health of a client's enterprise data estate,operating as the single accountable control tower across a hybrid platform.

What distinguishes this role is how you get there: you will build a service that detects, correlates and increasingly resolves on its own, applying AIOpsand GenAI to compress triage, predict failure on the critical path, and convert repetitive manual intervention into automation - while keeping human judgment at the decision gates that matter.

The role requires the candidate to exhibit engagement and technical leadership in equal measure. You will be the face ofthe service to client IT and business leadership, run the governance cadence and hold the delivery relationship.

Engagement& Client Leadership

• Act as the primary point of accountability to client IT leadership and business data owners for theend-to-end data service across both the legacy and modern stacks.
• Chair the operational governance cadence - daily stand-up, weekly cross-party operations review, ,monthly business reviews - and own the agenda, decisions and follow-through.
• Own the service scorecard andits narrative: SLA attainment, MTTR, data freshness, repeat-failure rate, passrate, connector stability and Fin Ops.
• Protect the scope boundary between run and change: route enhancement demand through governance, size andshape change requests.
• Lead client communication during major incidents and own the post-incident review.

Service Ownership & Operations

• Own the Standard Operating Procedure for the estate - scope, monitoring framework, severity matrix, RACI,escalation paths, notification matrix and closure criteria - and keep itcurrent as the platform evolves.
• Lead triage on P1 and P2incidents, assign the resolver domain, run the cross-party bridge
• Drive problem management
  -convert recurring incidents into permanent fixes, and burn down the problem backlog

Technical Leadership

• Set the technical standard forthe service across legacy and modern technical stacks.
• Own the data architecturestandards for the estate, govern the data model - dimensional design, conformed dimensions and business keys, SCD treatment, and semantic consistency
• Lead diagnosis on major incidents across domain boundaries - distinguishing an ETL fault from adatabase fault, a connector fault from a source schema change, a report failure from warehouse contention.
• Own all operational decisions,define monitoring and data-quality framework
• Establish AIOps for the service, advance the service toward predictive and self-healing operations
• Review new business demands,own screening and qualifications of the demand, effort sizing and implementation roadmap

• Bachelor's/Master's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• 10-15 years in data engineering, data warehousing or data operations, with experience of working inmanaged service or Data Operations function.
• Demonstrated experience as aclient-facing lead - running governance forums, owning SLAs and service reporting, and managing escalations with senior IT and business stakeholders.
• Experience in Informatica Power Center  and a relational data warehouse platform.
• Working expertise across amodern cloud data stack - Snowflake, dbt, and a managed ingestion tool such as Fivetran, Airbyte or Matillion.
• Strong SQL and data modelling expertise, including dimensional modelling and warehouse performance tuning.
• Practical experience with enterprise job scheduling (Tidal, Control-M, Autosys or equivalent) and withITSM process in Service Now - incident, problem, change and major incident management.
• Proven ability to define and operate a monitoring and alerting framework that measures data delivery,…