Data Governance & Delivery Lead

ERGO NEXT Group INTERNAL•Waltham, MA

1d•$134,000 - $220,000•Hybrid

About The Position

ERGO NEXT’s mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in. We’re looking for a Data Governance & Delivery Lead to join our Data Organization as we bring Data Science, Analytics Engineering, and Data Engineering into a more unified operating model. This newly created IC4 role sits between technical delivery and business stakeholders, helping the data org scale with clearer intake, prioritization, ownership, delivery visibility, and governance. This is not a project coordinator or Jira administration role. We’re looking for someone with real fluency in how data teams operate, how data pipelines and ownership boundaries work, and how to build trust across technical and business teams without adding unnecessary bureaucracy. The role works directly with the Global VP of Data and partners closely with leaders across Data Engineering, Analytics Engineering, Data Science, Claims, Finance, Actuarial, Product, and Underwriting.

Requirements

7+ years of experience operating in a data-intensive environment, ideally in insurance, fintech, financial services, or another regulated industry.
Strong working knowledge of Data Engineering, Analytics Engineering, and Data Science functions, including how ownership boundaries and handoffs work in practice.
Experience owning or building intake, prioritization, governance, delivery, or operating processes across multiple technical teams.
Ability to understand data pipelines, schema changes, semantic layers, data quality, downstream dependencies, and modern data platform concepts well enough to identify risk and ask the right questions.
Strong communication skills with the ability to run meetings involving both senior business stakeholders and technical data leaders.
Proven ability to influence without direct authority, resolve ambiguity, document decisions, and hold teams accountable through process, transparency, and relationships.

Nice To Haves

You build structure in ambiguous environments and know how to turn ad hoc coordination into a scalable operating model.
You bring governance without bureaucracy — enough process to create clarity, not so much that it slows the business down.
You can translate between technical data teams and business stakeholders, holding ground with both.
You know when to escalate, when to resolve directly, and how to make risks visible before they become incidents.
You are comfortable influencing senior technical leaders without needing a formal reporting line.

Responsibilities

Design, launch, and run a structured intake and prioritization process across Data Science, Analytics Engineering, and Data Engineering.
Own the operating model for cross-team sign-off, ownership boundaries, escalation paths, and delivery traceability.
Partner with technical data leaders to identify dependencies, surface risks, and prevent downstream impact from schema, pipeline, or platform changes.
Translate business needs from Claims, Finance, Actuarial, Product, Underwriting, and other stakeholders into clear, intake-ready data requests.
Create visibility into active commitments, blocked work, risks, decisions, and upcoming milestones for the Global VP of Data and executive stakeholders.
Embed the Data Organization earlier in product, engineering, annual, and quarterly planning cycles so data requirements are understood before they become blockers.