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 teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Qualifications

Required

• 6yrs+ of dedicated experience in data management, data engineering, or data governance, including proven experience leading cross-functional data initiatives or technical teams in a client-facing or consulting capacity.
• Hands-on experience with enterprise data cataloging, MDM, and data quality tools (e.g., Informatica, Talend, Collibra, Profisee, or similar platforms)
• Proven expertise in governing and managing Big Data ecosystems, with mandatory experience handling high-volume, high-frequency transactional data sets typical of large enterprise operations.
• Deep technical understanding of data ingestion patterns, robust ETL/ELT pipeline design, and data lineage mapping to guarantee highly reliable data availability from source origin to target destination.
• Deep proficiency in advanced SQL and relational database architecture, with a strong understanding of data modeling techniques (e.g., Kimball, Inmon) and modern data stack technologies.
• Demonstrated ability to lead without direct authority, build consensus on data definitions, and translate highly technical pipeline and architecture concepts for non-technical executive client stakeholders.
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a business discipline (such as Business Management, Finance, or Economics/Economic Consulting), or equivalent professional experience.
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

• FSI Industry Experience: Experience delivering high-volume data solutions exclusively within the Financial Services and Insurance (FSI) sectors (e.g., Retail or Commercial Banking, Property & Casualty Insurance, Wealth Management, Capital Markets, or FinTech).
• Secure Delivery Focus: Proven track record of managing data programs that handle highly sensitive data (PII/NPI), incorporating rigorous security reviews, robust data masking/encryption standards, and compliance audits (e.g., PCI-DSS, GLBA, SOX) into the data lifecycle.
• Cloud Ecosystems: Advanced experience working within major cloud ecosystems (Microsoft Azure, AWS, or GCP) and cloud-native data warehousing solutions (e.g., Snowflake, Databricks).
• Transformation & Automation Experience: Hands-on experience leading digital transformation initiatives, specifically deploying AI/Generative AI (GenAI) and Robotic Process Automation (RPA) to systematically reduce operational redundancy and manual task labor. This includes establishing rigorous system validation protocols and comprehensive risk management frameworks to ensure automated solutions remain secure, accurate, and fully compliant with regulations.
• Professional Certifications: Active certifications such as Project Management Professional (PMP), Certified ScrumMaster (CSM), PMI Agile Certified Practitioner (PMI-ACP), or relevant Cloud Practitioner certifications.

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Benefits

This position is aligned with the Project Delivery Model. To view the associated benefit package, please reference this document USBenefitsJourneyProjectandCenterTAM