firstPRO, Inc
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.
Data Governance, Quality & Compliance
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.
Team Leadership & Capability Building
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.
Executive & Cross‑Functional Partnership
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.
Profile of the Ideal Candidate
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.
Leadership Characteristics
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
#J-18808-Ljbffr
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.
Data Governance, Quality & Compliance
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.
Team Leadership & Capability Building
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.
Executive & Cross‑Functional Partnership
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.
Profile of the Ideal Candidate
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.
Leadership Characteristics
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
#J-18808-Ljbffr