Data Operations Lead

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.