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Director of Data Analytics
Job in
Burlington, Middlesex County, Massachusetts, 01805, USA
Listed on 2026-02-16
Listing for:
firstPRO, Inc
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
We are partnering with a well‑established organization to identify a senior leader to oversee enterprise analytics and data strategy within its technology organization. This role reports directly to the finance executive leadership team and leads a small, high‑impact analytics group. The position operates on a hybrid schedule, with regular in‑office collaboration in the greater Boston area.
This leader will be accountable for shaping how data is used across the organization—moving it beyond reporting into a strategic asset that drives decision‑making, innovation, and measurable business outcomes.
Key Responsibilities- Define and execute a company‑wide analytics vision that supports long‑term growth, operational efficiency, and customer impact.
- Partner closely with executive leadership to align data initiatives with enterprise priorities and transformation efforts.
- Establish and deliver a multi‑year roadmap covering data platforms, business intelligence, advanced analytics, and data science capabilities.
- Guide the evolution of analytics from descriptive reporting to predictive and prescriptive insights, including selective use of AI and machine learning.
- Ensure analytics outputs—dashboards, models, and insights—are directly tied to business performance, strategy, and accountability.
- Oversee the end‑to‑end lifecycle of data solutions, from ingestion and quality controls through production deployment and adoption.
- Design and lead a practical, scalable data governance framework that balances accessibility, security, and regulatory requirements.
- Ensure compliance with relevant privacy and data protection regulations while enabling responsible data usage across the business.
- Establish standards for data quality, observability, and trust, enabling confident decision‑making at all levels.
- Provide oversight for ethical and responsible use of data and analytics, including AI‑enabled solutions.
- Lead, mentor, and develop a team of analytics professionals, fostering high performance and accountability.
- Shape the operating model for analytics delivery, including the effective use of external partners and vendors when appropriate.
- Promote a culture of continuous improvement, experimentation, and learning grounded in measurable business value.
- Drive data literacy initiatives that empower non‑technical stakeholders to confidently use data in their roles.
- Serve as a trusted advisor to senior leadership, translating complex data into clear, actionable insights.
- Collaborate across functional areas to ensure analytics initiatives address real business needs and deliver tangible outcomes.
- Engage with external partners, vendors, and industry peers to stay current on emerging practices and tools.
- Act as a visible leader for analytics internally, helping elevate the organization’s overall data maturity.
- A seasoned data and analytics leader with 12+ years of progressive experience across analytics, data platforms, or digital transformation.
- Demonstrated success building and leading analytics teams while delivering enterprise‑level impact.
- Strong understanding of modern BI platforms, data architectures, and advanced analytics, with a pragmatic approach to AI/ML adoption.
- Comfortable operating at both strategic and execution levels—able to engage executives while maintaining technical credibility.
- Bachelor’s degree in a relevant discipline; advanced education is beneficial but not mandatory.
- Certifications related to data management, privacy, or cloud platforms are a plus, but not a requirement.
- Customer‑and outcome‑oriented
- Takes ownership and accountability
- Acts with urgency and integrity
- Brings discipline, curiosity, and resilience to complex challenges
- Committed to doing work that has meaningful impact—inside and outside the organization
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