Director of Data & Analytics

Hajoca Corporation•Whitemarsh Township, PA

1d•Hybrid

About The Position

Hajoca Corporation is seeking a Director, Data and Analytics to lead its newly forming enterprise Data and Analytics function. This role will have end-to-end ownership of Hajoca's data, including the enterprise data warehouse, data engineering and pipelines, governance, quality, analytics, reporting, and the application of AI. The existing data team will report into this role from day one. The Director will define the vision, build the team, and establish enterprise capabilities to leverage data and AI as strategic advantages, while respecting the company's decentralized operating model. The function will serve multiple business verticals and corporate functions, with a close partnership with Finance to establish a trustworthy data foundation for financial reporting. This role reports to the Head of Information Technology and collaborates with the broader IT organization on the platform and infrastructure. The core mandate is to create a single source of truth for Hajoca's data, ensuring it is authoritative, usable, and trusted. This involves establishing master data management, common definitions, data quality, and a governance model, supported by analytics and reporting that the business can rely on. The goal is to provide consistent and correct answers to business questions, regardless of who asks or where they look, enabling data-informed decision-making across the organization.

Requirements

Master's or Bachelor’s degree in Computer Science, Information Technology, Business Analytics, Data Science, or a related field.
10 or more years in data, analytics, or business intelligence, including hands-on building and time leading small teams.
5 or more years of management experience.
Track record of taking a data and analytics capability from messy or fragmented to trusted and authoritative and tying the work to real business outcomes.
Usable technical depth – comfortable in the data and the tooling, not just managing people who are.
Experience establishing data governance and master data management, definitions, quality, and ownership, that actually held.
Experience in a decentralized or federated business, where influence and partnership matter more than top-down authority.
Familiarity with modern BI, analytics, and AI/ML tools sufficiently enough to drive adoption and make architecture calls.
Experience presenting to and engaging executive leadership and owners.
Demonstrated ability to drive process improvements and optimize operational efficiencies.
High level of integrity, ethics, and professionalism.

Nice To Haves

Experience with Power BI and the Microsoft data platform is helpful.
A background in distribution, wholesale, supply chain, or another multi-site B2B operating environment.
Hands-on experience deploying LLM-based capabilities in analytics or business settings, including RAG, prompt engineering, evaluation frameworks, and managing accuracy, cost, and performance trade-offs.
Experience with M&A diligence and post-close data integration.
Intellectually curious and execution-oriented. A pragmatic builder who is comfortable navigating ambiguity and delivering tangible outcomes while maintaining a clear view of the broader strategic context.
Able to get value out of imperfect data today while building toward ground truth, rather than waiting for the foundation to be perfect before delivering.
Earns credibility with both executive leadership and field operators and moves the organization toward data-informed decisions through influence rather than mandate.
Comfortable navigating ambiguity; balances enterprise standards with local autonomy.
Measures success in business outcomes and in the trust the data foundation earns.
Exceptional analytical and problem-solving skills, with the ability to translate business, operational and financial insights into operational efficiencies.
Excellent leadership, communication, and interpersonal skills, with the ability to influence and engage stakeholders at all levels across Hajoca.

Responsibilities

Define and execute the multi-year vision, strategy, and operating model for Hajoca's Data and Analytics function.
Build the data foundation into a driver of better decisions across the business: pricing, inventory and working capital, customer retention, and M&A integration.
Partner with Finance to establish the data foundation as the trusted basis for financial reporting and analysis, then extend that trust to the rest of the enterprise.
Develop the business case, budget, and roadmap that secure executive and business support for the function's growth.
Establish and lead the enterprise data governance program: data ownership, stewardship, quality standards, master data management across core domains (product, customer, vendor, profit center, location), and policies for access, privacy, and security.
Define common definitions, metrics, and KPIs that are trusted across a decentralized business.
Build the semantic and metric layer that makes published reports and ad-hoc queries return consistent, correct results.
Ensure data is AI-ready: well-defined, well-governed, and structured to support analytics, machine learning, and LLM use cases.
Partner with Legal, Compliance, and People Operations so data practices align with regulatory, contractual, and privacy obligations.
Deliver enterprise reporting and self-service analytics that serve National Support Center leadership, division and regional managers, and individual Profit Centers.
Stand up a transparent intake and prioritization process for analytics and reporting requests.
Treat key analytical assets, dashboards, models, datasets, and APIs, as managed products with owners, users, and roadmaps.
Drive the shift toward data-informed decision-making at every level of Hajoca.
Establish enterprise data and AI literacy: role-based training, onboarding, and ongoing enablement.
Partner with People Operations and the business to build data fluency into leadership development and manager enablement.
Define and own Hajoca's strategy for applying AI and large language models within analytics and reporting: governance, responsible-AI principles, use-case prioritization, and delivery model.
Apply AI and machine learning to analytics, forecasting, segmentation, anomaly detection, and predictive models.
Lead the use of LLMs in the analytics stack, natural-language query, conversational BI, automated insight generation, and LLM-assisted self-service.
Establish responsible-AI standards: accuracy benchmarks, human-in-the-loop review, and clear guidance on where AI-generated output can and cannot drive business decisions.
Partner with the broader IT organization on the underlying platform and infrastructure.
Get maximum value from Hajoca's current foundation, Power BI and the Microsoft data platform, today, while helping decide what tomorrow's architecture needs to be.
Build trusted relationships with Profit Center leadership and NSC teams, working as an enabler rather than a centralizing force.
Hire, manage, mentor, and grow the team responsible for the design, development, implementation, and support of Hajoca’s Data Management strategy.
Set clear performance expectations and goals for teammates and conduct regular performance evaluations.
Successfully complete required safety and compliance training programs as assigned.
Perform other reasonably related duties as assigned by immediate supervisor and other management as required.