Sr. Manager Data & Analytics Platform

Values:

AccelerEd's values are at the core of everything we do, from our ongoing relationships with clients and partners to our daily interactions with team members across the organization. Adopting these values is essential to supporting the company's objectives and inspiring employees to new levels of productivity while helping them achieve their professional goals. Our values include Act with Integrity; Focus on Customers; Engage with Respect; Collaborate Always; and Innovate with Passion. Please read more about these values at the end of this document.

Position Summary:

The Senior Manger, Enterprise Data and Analytics Platform is a critical leadership role responsible for shaping and driving AccelerED's enterprise data strategy through the design, implementation, and oversight of its data and analytics platform.

Reporting to the AVP Enterprise Data, this role ensures the organization's data assets are findable, securely accessible, interoperable, reusable, and reliable; as well as optimized for analytics, decision-making, and operational excellence. This leader will align data management best practices with business priorities, enabling AccelerED to leverage data as a strategic asset while fostering a culture of innovation and collaboration. The Sr. Manager will help shape the organization's data culture, and balance high-level strategic planning with hands-on involvement in projects, operations, and technical implementations.

The Sr. Manager will build and lead a team of data engineers and architects while collaborating with business and technical stakeholders to ensure the platform aligns with organizational goals and supports a wide range of use cases, including ML/AI, and operational data stores.

Responsibilities

Strategic Leadership and Vision:

Develop and execute the strategy for Data Lakehouse architecture, ensuring it supports the organization's overall data and business goals.

Lead the design and implementation of a scalable, secure, and high-performance enterprise data Lakehouse that ingests and curate data from various internal and external data sources and delivers certified data in service of an evolving portfolio of data products and services.

Define and enforce best practices for data Lakehouse architecture, governance, data quality, and lifecycle management.

Team Leadership and Development:

Build, lead, and mentor a team of data engineers, architects, and analysts focused on the data Lakehouse platform.

Foster a culture of collaboration, innovation, and continuous learning within the team.

Provide coaching, career development, and performance management to ensure the team's success.

Data Architecture and Interoperability:

Design and oversee ELT and ETL processes for the ingestion, integration, and interoperability of structured, semi-structured, and unstructured data into the data Lakehouse, enabling easy access, real-time processing, and advanced analytics.

Define and implement an architecture that leverages cloud platforms (e.g., AWS, Azure, GCP) and modern data processing frameworks (e.g., Apache Spark, Delta Lake, Apache Flink).

Ensure that the Lakehouse architecture is flexible, scalable, and aligned with the organization's evolving data needs.

Data Governance, Security, and Compliance:

Implement and enforce data governance policies to ensure high-quality, secure, and compliant data usage across the lake house.

Work with legal and compliance teams to ensure data security, privacy, and regulatory requirements (e.g., GDPR, FERPA, HIPAA, etc.) are met.

Implement and manage data cataloging, lineage tracking, and metadata management processes.

Analytics Enablement:

Work closely with data scientists, business analysts, and other stakeholders to ensure the Lakehouse supports both batch and real-time analytics needs.

Lead the development and implementation of MLOps enabling enterprise grade analytics, machine learning, and data science in support of data-driven decision-making.

Ensure the platform supports self-service data exploration, reporting, and visualization capabilities for business users.

Collaboration and Stakeholder Management:

Engage with cross-functional teams (e.g., IT, operations, business intelligence, and product teams) to understand their current and emerging data needs and ensure the data Lakehouse platform capabilities are in alignment.

Serve as the point of contact regarding the data Lakehouse's performance, enhancements, and strategic direction.

Advocate for the data Lakehouse within the organization, educating stakeholders on the platform's benefits and capabilities.

Innovation and Futureproofing:

Stay informed about emerging technologies, trends, and best practices in data management, cloud computing, and big data and lead continuous improvement.

Lead the evaluation and adoption of modern technologies and tools to enhance Lakehouse's capabilities, scalability, and performance.

Drive continuous improvements to ensure the platform is future-ready, evolving to meet the organization's growing data needs.

Budget and Resource Management:

Develop and manage the approved budget for the data Lakehouse team and platform, ensuring efficient resource allocation.

Monitor and control project timelines, scope, and costs to deliver data Lakehouse initiatives on time and within budget.

Qualifications:

• A Master's or bachelor's degree in Information Science, Computer Science, or a related field, and 10 or more years of experience implementing and maintaining enterprise data and analytics platforms; or a PhD with five or more years of experience.
• Demonstrated integrity, energy, the ability to energize others, and to execute and deliver on goals and objectives.
• Must be collaborative and influential, a self-starter, results-focused, and have the ability to prioritize.
• Advanced communication skills for engaging technical and non-technical stakeholders.
• Facilitation, Negotiation, Collaboration, and Presentation skills.
• Dedicated to understanding and meeting the needs of customers through tailored platform solutions and data-driven insights and influence strong user adoption.
• Proven record of leading large-scale data and analytics platform initiatives in complex federated organizations working with cross-functional teams and consultants.
• Eagerness to innovate within a collaborative environment, bringing a proactive and adaptable approach to evolving business needs.
• Experience with building and delivering curated and governed data products and establishing data contracts between data producers and consumers.
• Exceptional hands-on leadership, team-building, and coaching skills, with strategic thinking and the ability to align technical solutions with current and emerging business needs.
• Ability to see the big picture and align platform functionalities with evolving portfolio of data products and services.
• Strong analytical skills with a data-driven approach to decision-making and problem-solving.
• Experience with building global multitenant environments and data marketplaces.
• Experience operating in cross-functional teams within shared governance organizations.
• Expertise in designing, implementing, and operating modern enterprise data platforms, including data lakes, warehouses, and cloud-based analytics tools.
• Deep experience in data architecture, dimensional modeling, and data engineering.
• Strong understanding of data governance, master data management, quality management, and compliance frameworks.
• Deep knowledge in data architecture, data engineering methodologies, cloud computing, and REST APIs
• Solid understanding of Agile, DevOps and CI/CD, MLOps, DAMA, TOGAF.
• Proficiency and experience in several of the following platforms across different areas
• M365 (MS Office)
• Databricks, Snowflake, Redshift, Microsoft Fabric, BigQuery
• PeopleSoft, Salesforce, Workday, Banner
• D2L Brightspace, Canvas, Blackboard
• AWS, Azure, Google Cloud
• MuleSoft, Airflow, Talend, Informatica, Azure Data Factory, dbt
• Profisee, Purview, Atlan, Reltio, Alation, Attacama
• Erwin, pgModeler, ER Studio
• NEO4J, Altair, Tiger Graph
• PL/SQL, Python, Scala, Rust, Cypher, GraphQL, GQL
• Atlassian, Jira, Jenkins, Azure DevOps, GitHub
• Travel 3+ times per year for strategy and team meetings to Adelphi MD

Must be authorized to work in the United States for any employer. We are not offering sponsorship now or in the future.