Manager, Enterprise Data Management

IQ Fiber•Jacksonville, FL

33d

About The Position

IQ Fiber is seeking a Manager, Enterprise Data Management to own the company's master data management (MDM) platform and the data governance program across its growing fiber-to-the-home expansion markets. The role is accountable for the foundational data platform, the governance that keeps data trustworthy, and ensuring teams can access the information they need to do their work. It partners with leaders across Engineering, Construction, Commercial, Network Operations, Finance, and Support to define data ownership and governance and make data useful for business decisions. The role has broad authority over foundational data, works closely with a small delivery team on the in-house platform, and has high visibility with senior leadership. Jacksonville, Florida is preferred; remote work is considered. The Manager owns the MDM platform roadmap, backlog, and priorities, participates in architecture and design reviews, and coordinates platform and integration delivery. The role establishes and maintains governance for parcel, address, customer, service, and network data; defines authoritative systems and accountable ownership; and governs rules for creating trusted golden records. It also defines data quality standards, establishes operational data stewardship, ensures governed changes to source systems are audited and reversible, and provides clean, documented data products to business consumers. The role measures data health and program progress and supports onboarding new data sources and acquired markets. Success means teams use a trusted source for core data; ownership and stewardship are clear and operating effectively; data quality improves as the footprint grows; new sources and acquired markets can be onboarded repeatably; and senior leadership has current visibility into program health and progress. Applicants must be authorized to work for any employer in the United States. IQ Fiber is unable to sponsor or take over sponsorship of an employment visa at this time.

Requirements

Bachelor's degree in a relevant field, or equivalent experience.
At least 6 years of experience in data product management, data governance, master data management, business systems analysis, or a closely related discipline.
Demonstrated ownership of a data platform, data product, or governance program from requirements through adoption, including establishing ownership models, stewardship roles, quality standards, and a sustainable operating rhythm.
Strong understanding of master data concepts, including golden records, survivorship and authority rules, entity resolution and matching, deduplication, lineage, and audit.
Working understanding of data architecture, including relational and spatial data modeling, schema design and normalization tradeoffs, ETL and ELT patterns, and choosing batch versus event-driven synchronization.
Experience integrating and reconciling data across multiple operational systems, including REST APIs, webhooks, and event-driven or queue-based synchronization, and understanding related failure modes such as idempotency, retries, ordering, and reconciliation after partial write-back failures.
Familiarity with modern application development practices, including version control, code review, CI/CD, environment promotion, and release management, sufficient to participate in design reviews, assess technical debt, and follow integration code.
Fluency in SQL and a habit of working directly with data rather than relying on summaries.
Excellent written communication, including documenting decisions to withstand turnover and presenting clear recommendations to senior leadership.
Ability to build alignment and drive adoption among stakeholders who do not report to the role, across Engineering, Construction, Commercial, and Network Operations.
Ability to handle sensitive and confidential information, including PII, with sound judgment and integrity.
Proficiency with Microsoft 365.
Must be authorized to work for any employer in the United States; visa sponsorship or transfer is unavailable.

Nice To Haves

Experience in telecommunications, utilities, broadband, or infrastructure development.
Familiarity with geospatial or location data, particularly parcel and address data.
Exposure to platforms such as ArcGIS and Vetro FiberMap, an ISP billing or OSS/BSS system, or an address verification service.
Experience with commercial MDM or data governance tools such as Profisee, Informatica, Reltio, Collibra, or Alation.
Working knowledge of Python, the language used to build the platform.
Experience with a modern analytics stack such as Snowflake, dbt, or Sigma.
Experience building a data program in a high-growth, multi-market environment, including integrating data from acquisitions.
Certification such as CDMP, DGSP, or a recognized product management credential.

Responsibilities

Own the MDM platform roadmap, backlog, and priorities; make tradeoff decisions; and participate in architecture and design reviews, including sequencing technical debt against feature work.
Discover stakeholder and data-consumer needs across the business, translate them into requirements, and validate delivered work against those requirements.
Coordinate delivery with the team building and maintaining source integrations and platform features, keeping releases on a predictable cadence.
Own the company-wide data governance framework for parcel, address, customer, service, and network data.
Establish and maintain documented, versioned, and agreed data ownership across the organization, including authoritative systems for attributes; build consensus with source-system owners, including the Manager, GIS, and escalate decisions requiring senior leadership input to sponsors.
Own the rules used to create trusted golden records, including attribute mapping, authority, identity resolution, and matching.
Run structured working sessions with system owners, data stewards, and platform maintainers to agree governance rules for each source and verify results against live data.
Define data quality standards, monitor performance against them, and work with system owners to improve quality at the source.
Ensure changes written back to source systems are governed, audited, reversible, and human-approved.
Establish data stewardship as a routine function by defining roles, daily queues, service expectations, and escalation paths; provide training and documentation for stewards and consumers.
Serve data consumers across Commercial, Design, Network Operations, Finance, Support, and OSP, including downstream analytics and reporting, with clean, well-documented data products.
Onboard new data sources as the business adds capabilities and enters new markets, including markets added through acquisition.
Define and report measures of data health and program progress in business-relevant terms.
Perform other duties as assigned.