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Director, ZDC Operations

Job in Paterson, Passaic County, New Jersey, 07544, USA
Listing for: your Jared
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 153000 - 194000 USD Yearly USD 153000.00 194000.00 YEAR
Job Description & How to Apply Below

A Little About Us

At Zelis, we Get Stuff Done. So, let’s get to it!

A Little About Us Zelis is modernizing the healthcare financial experience across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.

At Zelis, AI is woven into the fabric of how we work. Every associate is expected - and empowered - to partner with AI to challenge the status quo, accelerate innovation, and amplify their impact. This is a place for builders with a growth mindset who act with agility, embrace change, and use modern technology to shape smarter solutions, exceptional experiences, and the future of our industry for our clients, customers, and our culture.

A

Little About You

You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you've learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are.

Position Overview

Zelis is becoming an AI‑Native company, and the Zelis Data Cloud (ZDC) is the data foundation that our analytics, AI, and agentic engineering are built on. The Director, ZDC Operations owns the run‑state of that foundation: the reliability, monitoring, and operational quality of every production data pipeline across the Snowflake platform. This leader establishes a best‑in‑class data operations function on a Center of Excellence (CoE) model — driving efficiencies and economies of scale, reliability, reusability, and repeatability while reducing duplication of technology and process and enabling automation.

The role builds and runs the Data Ops / Data Reliability Engineering (DRE) practice and assist in moving L1 to Global Operations Center (GOC) so that data products, dashboards, and downstream AI workloads run predictably and within SLA. This is a hands‑on leadership role — accountable for operational outcomes, not just coordination — leading a distributed onshore/offshore team across L1/L2/L3 support tiers.

What You’ll Do:
  • Operating model & Center of Excellence — establish a data operations CoE with a distributed onshore/offshore, tiered (L1/L2/L3) support structure; drive efficiencies and economies of scale, reduce duplication of tooling and process, and enable automation (including RPA) across the data lifecycle.
  • Production pipeline operations & SLA management — own end‑to‑end run‑state health for all ZDC data pipelines; define, measure, and hold to data SLAs/SLOs and reliability KPIs (freshness SLO attainment, MTTD, MTTR, change‑failure rate).
  • Orchestration & run‑time reliability — job orchestration, scheduling, dependency management, and recovery; drive down failed‑run rates and mean‑time‑to‑recovery.
  • Operational data quality & incident triage — operational data‑quality checks and testing frameworks (dbt tests, Great Expectations / Soda), data contracts and schema‑change management, freshness/latency monitoring, anomaly detection, and a disciplined incident‑triage and root‑cause process.
  • Build & lead the Data Reliability Engineering (DRE) function — hire, mentor, and set standards for a DRE practice that applies SRE discipline (error budgets, runbooks, blameless postmortems) to data.
  • Run‑state support, on‑call & DBA coordination — own the on‑call rotation, escalation, and incident‑management tooling (Pager Duty / Jira); coordinate Snowflake / DBA support for run‑state issues.
  • GOC enablement — build the runbooks, monitoring dashboards, alerting, and escalation paths that enable the Global Operations Center (GOC) to take on L1 support for ZDC around the clock.
  • Data observability — deploy and operate the team’s data‑observability tooling for pipeline lineage,…
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