Director of Data Strategy

Newfold Digital • FL

65d

About The Position

Bluehost is a leading web hosting company dedicated to helping web professionals, small businesses and entrepreneurs build a website and grow their business. We are passionate about delivering reliable technology, exceptional service, and marketing solutions that empower users to create and grow their digital footprints. We are seeking a senior data leader to define and drive the company’s data vision and strategy at scale. This role sits at the intersection of data engineering, decision science, and analytics strategy — enabling Product, Marketing, and Operations teams to leverage data for measurable business impact. This role focuses on strategic oversight, cross-functional influence, and high-impact decision-making while ensuring operational excellence across millions to billions of customer interactions.

Requirements

• 10+ years of experience in data engineering, data science, or analytics, with at least 3–5 years in technical leadership or Head of Data-level roles.
• Proven experience with high-volume consumer and SMB datasets — millions to billions of users, e-commerce, or hosting platforms.
• Strong technical foundation in data infrastructure, pipelines, cloud platforms (Azure, OCI, etc.), ETL/ELT, orchestration (Airflow, DBT), warehouses/lakes, and decision science / predictive modeling.
• Hands-on understanding of statistics, ML, algorithms, linear algebra, optimization, and experimentation frameworks.
• Ability to bridge technical execution and business strategy, influencing Product, Marketing, and Operations without managing day-to-day analytics reporting.
• Excellent communicator, capable of presenting technical strategies and insights to executives.
• Ambitious, self-driven, and hungry to define the future of data at a large-scale hosting organization.

Nice To Haves

• Degrees from top-tier universities in computer science, data science, mathematics, or a related field.
• Experience in hosting, SaaS, or high-volume consumer platforms.
• Hands-on experience with ML productization, personalization, recommendation systems, or predictive analytics for customer retention.
• Familiarity with infrastructure and operational telemetry data, including uptime, site reliability, and service performance.
• Published research in ML, AI, or statistics is a plus.

Responsibilities

• Define, own, and architect the company-wide data strategy, infrastructure, and operationalization, ensuring alignment with business objectives for retention, growth, and operational excellence.
• Lead the planning, prioritization, and execution of high-impact data initiatives, collaborating closely with engineering, business intelligence, and analytics teams.
• Enable decision science at scale: predictive modeling, experimentation, churn analysis, LTV modeling, and personalization strategies.
• Partner with Product, Marketing, and Operations to translate business priorities into actionable data initiatives, while leaving day-to-day pipeline execution to VP-level or operational teams.
• Establish and enforce data governance, quality, security, and compliance policies across large-scale hosting and SMB datasets.
• Communicate insights, trade-offs, and strategic recommendations effectively to executive leadership.
• Mentor senior individual contributors and managers, helping to scale a high-performing, technically sophisticated data organization.

Benefits

• Excellent Health Insurance options to fit you, HSA, Medical, Dental, Vision.
• Matching 401K.
• Life/AD&D/STD/LTD.
• Tuition Reimbursement.
• Pet Insurance.
• Generous vacation policy.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees