Data Management Lead

Relha LLC; Jacksonville (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

Deloitte is seeking an experienced Data Management Lead to oversee governance, MDM, cataloging, and data quality initiatives for diverse clients. You will bridge technical data engineering and business stakeholders to implement robust data architectures.

You will design and govern end-to-end data pipelines, establish standards, and mentor teams in an Agile client-facing environment, delivering high-impact analytics-ready assets.

Qualifications

• Minimum 8+ years in data management, governance, or related field.
• Proven experience leading enterprise data governance and MDM initiatives.
• Strong client-facing communication and collaboration skills.
• Experience translating business requirements into scalable data architectures.

Responsibilities

• Oversee enterprise data governance/quality, MDM, and data catalogs.
• Design and manage end-to-end ETL/ELT pipelines with data lineage.
• Lead data management strategy for high-volume data and scalable architectures.
• Mentor data engineers and analysts; align with client stakeholders across functions.
• Drive Agile delivery, sprint planning, and project timelines for clients.

Skills

MDM governance

Data governance

ETL/ELT design

Data quality

Data cataloging

Leadership

Stakeholder management

Agile

Mentoring

Communication

Tools

Snowflake

Azure Synapse

AWS Redshift

Collibra

Alation

Informatica

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Management Lead you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long‑term, onsite client service delivery.

As a Data Management Lead, you will oversee enterprise data management governance/quality, master data management (MDM), and cataloging standards. In this role, you will serve as the strategic steward of enterprise data assets for clients, ensuring high data quality, robust governance, and seamless accessibility across their organizations. In this critical client‑facing leadership role, you will bridge the gap between technical data engineering teams and client business stakeholders to design and enforce Master Data Management (MDM) frameworks, data catalogs, and data lifecycle policies. You will drive initiatives that transform raw, high‑volume transactional data into secure, reliable, and actionable assets, enabling advanced analytics and supporting clients' enterprise‑level strategic objectives.

Pipeline Design & Source-to-Target Availability: Oversee the end‑to‑end design, governance, and integrity of complex ETL/ELT data ingestion pipelines. Ensure seamless, fault‑tolerant data availability and transparent data lineage from disparate source systems to target analytical repositories (e.g., Snowflake, Azure Synapse, AWS Redshift).

Lead the data management strategy for high‑volume, high‑velocity transactional data. Ensure that client data architectures are optimized for massive scale, rapid data retrieval, and operational resilience.

Establish, enforce, and scale enterprise data governance frameworks, policies, and standard operating procedures to ensure data accuracy, consistency, and regulatory compliance within client environments.

Lead the design and implementation of MDM solutions and data cataloging tools (e.g., Collibra, Alation, Informatica) to help clients maintain a single, trusted source of truth across complex enterprise ecosystems.

Architect and deploy automated data quality monitoring workflows; define critical data elements (CDEs), track metadata, and establish KPIs to proactively identify and remediate data anomalies before they impact downstream availability

Mentor data engineers and analysts while partnering tightly with client stakeholders (product, finance, and operations) to translate their specific business requirements into scalable, robust data architectures.

Lead data management initiatives within an Agile framework, managing sprint backlogs, capacity planning, and project delivery timelines on behalf of clients.

Meticulous attention to detail and quality of work product

Ability to build and sustain professional relationships

Ability to manage and prioritize multiple tasks in a fast‑paced and dynamic environment

Strong interpersonal skills and professional demeanor

Ability to meet deadlines

Ability to provide clear guidance to others

Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical