Enterprise Delivery Manager - Data Services

Attain Partners

2d•$180,000 - $210,000•Hybrid

About The Position

The Enterprise Delivery Manager serves as a senior delivery and strategy leader responsible for organizing and overseeing enterprise-wide data initiatives. This role ensures the successful execution of projects spanning data integration, governance, quality, and strategy, aligning them with organizational objectives to enable trusted, actionable insights across the business. This leader combines strategic vision with hands-on delivery oversight—guiding teams, driving alignment between business and IT, and establishing the processes and frameworks that enable data as a true enterprise asset.

Requirements

Strong proficiency in data modeling, data quality management, metadata management, and integration tools such as Collibra, Informatica, Alation, or Boomi.
Deep understanding of Master Data Management (MDM) platforms and data security protocols across hybrid environments.
Expertise in implementing data governance frameworks (e.g., DAMA-DMBOK) and data lifecycle management processes.
Familiarity with industry-specific compliance and data protection requirements.
Proven experience leading complex, multi-phase data and integration programs with cross-functional teams, managing scope, budgets, and timelines effectively.
Ability to analyze complex enterprise data ecosystems, identify opportunities for optimization, and align data capabilities with business strategy.
Skilled at translating technical concepts into actionable insights for non-technical stakeholders.
Exceptional written and verbal communication skills to articulate data strategies, project progress, and business value to diverse audiences.
Strong interpersonal abilities to build trust and alignment across executive leadership, business units, and technical teams.

Nice To Haves

Enterprise data strategy development – ability to create and execute a roadmap that aligns data initiatives with business goals.
Program and portfolio management – proven track record managing multiple concurrent data projects with competing priorities.
Change management – experience driving adoption of new data processes, policies, and platforms across business and IT teams.
Team leadership and mentoring – ability to lead multidisciplinary teams (data governance, integration, architecture, analytics).
Executive communication – skilled at presenting data-driven insights and progress to C-suite and board-level stakeholders.
Deep understanding of data governance frameworks (e.g., DAMA-DMBOK, DCAM, EDM Council).
Experience building and leading data stewardship programs and defining data ownership models.
Expertise in data quality management, including profiling, cleansing, and monitoring tools (e.g., Informatica IDQ, Talend DQ).
Knowledge of metadata management tools (e.g., Collibra, Alation, Informatica EDC).
Understanding of data cataloging, lineage tracking, and impact analysis practices.
Strong familiarity with iPaaS and integration platforms (e.g., Boomi, MuleSoft, Informatica Cloud, Azure Data Factory).
Experience architecting API-led integrations and data pipelines across cloud and on-prem systems.
Understanding of enterprise architecture principles and data interoperability standards (e.g., REST, SOAP, JSON, XML).
Experience with ETL/ELT frameworks, middleware, and data synchronization strategies.
Expertise in Master Data Management (MDM) – customer, product, supplier, or other domains.
Experience implementing MDM solutions (e.g., Informatica MDM, Reltio, Boomi DataHub, Profisee).
Skilled in data modeling, entity relationship design, and canonical data models.
Understanding of hierarchical data structures, reference data management, and survivorship rules.
Strong analytical and problem-solving abilities with the capacity to translate complex data issues into strategic recommendations.
Working knowledge of SQL, Python, or other scripting languages for data analysis or validation.
Exposure to data warehousing, data lake, and BI/analytics ecosystems (e.g., Snowflake, Databricks, Power BI, Tableau).
Ability to balance business priorities with technical realities to deliver pragmatic, high-impact solutions.
Strong negotiation and stakeholder management skills.
Ability to foster cross-departmental collaboration and build consensus in matrixed environments.
Continuous learner with awareness of emerging technologies (AI, data fabric, data mesh, cloud-native data management).

Responsibilities

Develop and maintain a comprehensive roadmap for enterprise data management, integration, and governance initiatives aligned with organizational goals.
Champion a unified approach to data strategy, ensuring interoperability and data sharing across platforms and departments.
Lead the end-to-end delivery of data-focused projects, including the implementation of data governance frameworks, data quality remediation programs, and master data management (MDM) solutions.
Ensure projects meet defined milestones, budgets, and quality standards while driving measurable business outcomes.
Guide and mentor cross-functional teams responsible for data management, governance, and integration delivery.
Foster a culture of innovation, accountability, and continuous improvement through clear leadership and performance management.
Ensure the organization’s data is accurate, secure, and compliant with regulations and industry standards.
Oversee the implementation of data stewardship practices and automated monitoring processes to maintain high-quality data.
Engage and influence senior business and IT stakeholders to align on priorities, objectives, and outcomes for data initiatives.
Serve as the bridge between technical delivery teams and business leadership to ensure shared understanding and measurable value realization.