Data Operations Lead

AuxoAI Engineering Pvt. Ltd.; Irvine (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

AuxoAI is seeking an AI-native Data Ops Lead to own the health of a client's data estate across hybrid platforms. You will act as the face of the service to client IT and business leadership, running governance cadences and delivering data-driven outcomes.

The role emphasizes incident triage, problem management, and applying GenAI to automate triage and runbooks while preserving human judgment at key gates. Remote/on-site with client in Irvine area as needed.

Qualifications

• 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 in managed service or Data Operations function.
• Demonstrated experience as a client-facing lead — running governance forums, owning SLAs and service reporting, and managing escalations with senior IT and business stakeholders.
• Experience in Informatica PowerCenter and a relational data warehouse platform.
• Working expertise across a modern 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 with ITSM process in ServiceNow — incident, problem, change and major incident management.
• Proven ability to define and operate a monitoring and alerting framework that measures data delivery, not just job execution.
• Experience implementing AIOps or intelligent observability in a production environment —using platforms such as ServiceNow AIOps/ITOM, Dynatrace, Datadog or an equivalent in-house build.
• Practical grasp of how to apply ML and GenAI to operations: baselining and anomaly detection on time-series operational data, log and incident clustering, and LLM-assisted triage, incident summarisation or runbook generation.
• Experience coordinating resolution across third-party hosting providers, SaaS vendors and internal application teams.
• Excellent written and verbal communication — able to translate a technical fault into business impact for an executive audience.
• Based in or willing to relocate to the Irvine / Los Angeles area, with the ability to be onsite with the client as the engagement requires.

Responsibilities

• Act as the primary point of accountability to client IT leadership and business data owners for the end-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 and its narrative: SLA attainment, MTTR, data freshness, repeat-failure rate, pass rate, connector stability and FinOps.
• Protect the scope boundary between run and change: route enhancement demand through governance, size and shape change requests.
• Lead client communication during major incidents and own the post-incident review.
• Own the Standard Operating Procedure for the estate — scope, monitoring framework, severity matrix, RACI, escalation paths, notification matrix and closure criteria — and keep it current as the platform evolves.
• Lead triage on P1 and P2 incidents, assign the resolver domain, run the cross-party bridge
• Drive problem management — convert recurring incidents into permanent fixes, and burn down the problem backlog

Skills

Data Ops

Client leadership

Governance

SLA management

SQL

Snowflake

ETL troubleshooting

GenAI

Cloud data stack

Incident management

Education

Bachelor’s/Master’s in CS/Engineering

Tools

Informatica PowerCenter

dbt

Snowflake

Job description

About AuxoAI

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 their
data.

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

The Role

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 AIOps
and 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 of
the service to client IT and business leadership, run the governance cadence
and hold the delivery relationship.

What you will do

Engagement & Client Leadership

• Act as the primary point of accountability to client IT leadership and business data owners for the end-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 and its narrative: SLA attainment, MTTR, data freshness, repeat-failure rate, pass rate, connector stability and FinOps.
• Protect the scope boundary between run and change: route enhancement demand through governance, size and shape 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 it current as the platform evolves.
• Lead triage on P1 and P2 incidents, 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 for the service across legacy and modern technical stacks.
• Own the data architecture standards 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 a database 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

Requirements

What you bring

• 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 in managed service or Data Operations function.
• Demonstrated experience as a client-facing lead — running governance forums, owning SLAs and service reporting, and managing escalations with senior IT and business stakeholders.
• Experience in Informatica PowerCenter and a relational data warehouse platform.
• Working expertise across a modern 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 with ITSM process in ServiceNow — incident, problem, change and major incident management.
• Proven ability to define and operate a monitoring and alerting framework that measures data delivery, not just job execution.
• Experience implementing AIOps or intelligent observability in a production environment —using platforms such as ServiceNow AIOps/ITOM, Dynatrace, Datadog or an equivalent in-house build.
• Practical grasp of how to apply ML and GenAI to operations: baselining and anomaly detection on time-series operational data, log and incident clustering, and LLM-assisted triage, incident summarisation or runbook generation.
• Experience coordinating resolution across third-party hosting providers, SaaS vendors and internal application teams.
• Excellent written and verbal communication — able to translate a technical fault into business impact for an executive audience.
• Based in or willing to relocate to the Irvine / Los Angeles area, with the ability to be onsite with the client as the engagement requires.

Nice to have

• Working knowledge of MicroStrategy or a comparable enterprise BI platform.
• Familiarity with Python or PySpark for operational tooling and automation.
• Exposure to cloud cost management and FinOps practice, particularly Snowflake credit optimisation.
• Experience introducing observability, alert-quality review and toil reduction into an inherited support estate.
• ITIL certification or equivalent practical grounding in service management.