Director, Analytics & Data Engineering

Acceleration Partners•Boston, MA

2h•$150 - $170•Remote

About The Position

The Director, Analytics & Data Engineering is a senior leadership role that owns the vision, strategy, and outcomes of Acceleration Partners’ enterprise data and analytics capabilities. This role is responsible for defining how data is architected, governed, analyzed, and activated across the organization to support client outcomes, business decision-making, and long-term growth. This is both an internally and externally facing role. The Director partners closely with executive leadership, Technology, Client Services, Marketing, Sales, and Operations to ensure data is leveraged as a strategic asset across AP. The role operates at a highly strategic level while remaining hands-on as needed, leading complex data and business conversations with senior stakeholders and C-level clients.

Requirements

8+ years of progressive experience in analytics, data, or related roles
Experience leading analytics and/or data engineering teams in a client services or agency environment
Strong understanding of data architecture, governance, and compliance best practices
Expertise with data platforms, analytics tools, and visualization technologies (e.g., Power BI, Excel, etc.)
Data Warehouse experience, AWS/Redshift preferred
Affiliate and/or Influencer marketing industry experience preferred
Ability to communicate complex data concepts to technical and non-technical audiences
Strong analytical, problem-solving, and organizational skills
Bachelor’s degree required
Proven senior leader with strong ownership and accountability
Strategic thinker who can translate complex data concepts into business impact
Trusted partner to executives and clients with strong executive presence
Exceptional people leader who develops and empowers teams
Highly collaborative and comfortable leading through influence
Detail-oriented while able to operate at an enterprise strategy level
Excellent written, verbal, and presentation skills
Demonstrates AP’s core values: Own It, Embrace Relationships, and Excel & Improve

Nice To Haves

Affiliate and/or Influencer marketing industry experience preferred
Data Warehouse experience, AWS/Redshift preferred

Responsibilities

Lead, coach, and develop the analytics and data engineering organization, ensuring clear accountability, strong performance, and ongoing talent development. Hire, onboard, and retain high-performing team members. Actively mentor leaders and build succession plans. Success is demonstrated through strong team engagement, effective collaboration, and consistently high-quality analytics delivery.
Own the enterprise data strategy, roadmap, and architecture in partnership with the CTO. Ensure data systems are scalable, secure, cost-effective, and future-ready. Anticipate business and client data needs and proactively align platforms, tools, and resources to support growth and innovation.
Oversee data governance, hygiene, and management practices across the organization. Ensure appropriate security, privacy, compliance, and documentation standards are consistently applied. Proactively identify and mitigate data-related risks while enabling efficient cross-functional data usage.
Ensure data is transformed into clear, actionable insights that drive business and client outcomes. Guide teams in effective data visualization and storytelling to support decision-making and reinforce AP’s value proposition. Own analytics training and enablement strategies so teams can confidently leverage data tools and insights.
Partner with client teams and senior leaders to ensure analytics strategies directly support client growth, performance optimization, and enterprise initiatives. Serve as a trusted advisor in complex analytics and business strategy discussions, ensuring solutions are aligned with organizational goals and fiscal responsibility.
Partner closely with Technology to align data architecture with enterprise systems and priorities
Collaborate with Client Services to elevate analytics-driven client experiences
Support Sales and Marketing with data-backed insights, storytelling, and thought leadership
Establish and refine analytics processes, tools, and operating rhythms
Identify and proactively mitigate data, technology, and operational risks
Represent the analytics and data engineering function in senior leadership discussions