Vice President of Analytics

Harnham; United States; Hybrid; USD 180,000 - 200,000; Full time

Job summary

Harnham is seeking a Vice President of Data & Analytics to pioneer data-driven strategies, ensuring the organization utilizes data effectively to optimize decision-making. The role involves leading a high-performing team in a hybrid environment, driving transformation through advanced analytics and AI.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• At least 10 years in data roles, 5 in leadership.
• Experience in scaling data platforms.
• Strong knowledge of eCommerce or manufacturing sectors.

Responsibilities

• Lead data strategy aligning with business goals.
• Oversee the development of secure data infrastructure.
• Implement advanced analytics to solve business challenges.

Skills

SQL

Data Modeling

ETL/ELT Processes

AI

Machine Learning

Communication

Data Governance

Education

Bachelor's degree in Data Science, Computer Science, or related field

Job description

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Building Advanced Analytics Teams across the U.S.

Vice President of Data & Analytics

Hybrid (Remote with Occasional Travel)

$180-$200k

A fast-growing company in the manufacturing space that has a committed growth to technology & sustainability.

The Role

Vice President of Data & Analytics that will lead and shape the organization’s data-driven strategy. This executive-level position will be instrumental in driving business transformation by leveraging data to optimize decision-making, enhance operational performance, and fuel strategic growth. Reporting to senior leadership, you’ll oversee a dynamic data function, from data engineering and infrastructure to predictive analytics and machine learning.

Key Responsibilities:

• Lead the creation and execution of a comprehensive data strategy that aligns with the company’s long-term business goals and objectives.
• Foster a data-first mindset across all departments, ensuring the organization views data as a core asset for driving business decisions.
• Oversee the development and management of robust data infrastructure and platforms, ensuring they are secure, scalable, and compliant with industry regulations.
• Spearhead the application of advanced analytics and AI to solve complex business challenges and deliver actionable insights.
• Collaborate with various teams, translating business needs into effective data solutions and measurable outcomes.
• Establish and enforce best practices around data quality, governance, and stewardship, ensuring data integrity and availability across the organization.
• Design and implement modern data ecosystems, including cloud data platforms, pipelines, and business intelligence tools to empower the team with reliable, self-service analytics.
• Drive the delivery of clear, data-driven insights through intuitive reporting, dashboards, and KPIs, using tools like Tableau, Looker, or similar platforms.
• Build, mentor, and grow high-performing teams across data engineering, data science, and analytics functions.

Required Qualifications:

• At least 10 years of experience in data engineering, analytics, or data science, with a minimum of 5 years in a leadership capacity.
• Demonstrated success in building and scaling data platforms and analytics functions in fast-paced environments.
• Advanced expertise in SQL, data modeling, ETL/ELT processes, and cloud infrastructure.
• Practical experience applying AI and machine learning techniques to solve business problems.
• Exceptional communication skills with the ability to translate complex data insights into clear, actionable strategies.
• Strong understanding of the eCommerce or manufacturing sectors, with a passion for enabling data-driven decisions across the business.

Seniority level

• Seniority level

  Executive

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Manufacturing

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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