Director Data Products

Job Title

Lead the strategy, development, and lifecycle management of enterprise data products that support analytics, reporting, AI initiatives, and operational decision-making.

Education

Bachelor's Degree in Computer Science, Computer Engineering, Information Systems, Business Management, or a relevant field required

Work Experiences

10+ years of experience in data analytics, data engineering, data products, or related areas, including at least 4 years leading cross-functional teams

Previous experience building, managing, and evolving enterprise data products throughout the full product lifecycle

Strong knowledge of modern data platforms and tools, including dbt, Looker, BigQuery, and cloud-based data environments

Proven ability to translate complex data challenges into practical business solutions and measurable results

Experience supporting AI and machine learning initiatives through scalable, high-quality data foundations

Strong understanding of data governance, data quality standards, metadata management, and data contracts

Experience leading Agile delivery processes, prioritization, and roadmap planning

Strong communication and stakeholder management skills, including experience presenting to senior leadership

Retail industry experience preferred

Skills

Strong leadership skills with the ability to build, develop, and lead high-performing teams

Deep understanding of enterprise data products, data modeling, and modern cloud-based data ecosystems

Strong business acumen with the ability to connect data initiatives to operational and business outcomes

Ability to prioritize and manage multiple initiatives in a fast-paced environment

Strong stakeholder management and cross-functional partnership skills

Excellent written and verbal communication skills, including executive-level presentations and discussions

Experience driving roadmap planning, product prioritization, and Agile delivery practices

Strong analytical and problem-solving capabilities with attention to detail and data quality

Ability to influence decision-making across technical and non-technical teams

Working knowledge of AI/ML data enablement, governance practices, and scalable data architecture principles

Responsibilities

Lead the strategy, development, and lifecycle management of enterprise data products that support analytics, reporting, AI initiatives, and operational decision-making.

Partner with business leaders, Analytics, and Technology teams to translate business needs into scalable data products, dashboards, metrics, and data models.

Establish standards for data quality, governance, documentation, lineage, and service level expectations across the enterprise data ecosystem.

Build and manage the enterprise data product roadmap, including prioritization, Agile delivery, and ongoing enhancements.

Partner closely with Data Platform Engineering to support ingestion standards, validation processes, and pipeline reliability.

Communicate proactively with stakeholders regarding priorities, delivery timelines, product health, and upcoming changes.

Drive adoption and consistent use of enterprise data products across business teams by promoting usability, transparency, and trust in data.

Monitor and improve the overall health, reliability, and performance of enterprise data products and related processes.

Partner with cross-functional leaders to align data priorities with enterprise goals and evolving business needs.

Build, lead, and develop a high-performing team while fostering a culture of accountability, collaboration, and continuous improvement.

Support AI and machine learning initiatives through reliable, scalable, and business-ready data foundations.

Follow company policies and perform other duties as assigned.

Learn, follow and enforce company policies and safety procedures.

Adhere to company work hours, policies, procedures and rules governing professional staff behavior.

Responsibilities may change; team member may be asked to perform other duties as assigned.

Physical Requirements & Attendance

Regular in-office attendance required

Flexible work schedule to support business needs

Acceptable level of hearing and vision to perform job duties

Adhere to company work hours, policies, procedures, and rules governing professional staff behavior

Equal Employment Opportunity

Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.