Senior Manager of Analytics

Harnham; Washington; On-site; USD 140,000 - 210,000; Full time

Job summary

Harnham is seeking a Senior Manager, Data & Analytics to lead a small, multidisciplinary team spanning Analytics, BI, and Data Engineering. You’ll partner with senior leaders to drive strategic priorities and own the Data & Analytics roadmap for the business unit.

The role is a player-coach, about two-thirds leadership and one-third hands-on, translating business questions into analytical solutions and securing high-impact decisions.

Qualifications

• 8+ years of experience across Data Analytics, BI, Data Science, or a related discipline.
• Proven people leadership experience, ideally managing a team spanning multiple Data disciplines.
• Experience owning a broad Data & Analytics remit, rather than a narrowly focused reporting or analytics function.
• Strong commercial acumen and experience partnering directly with senior business leaders.
• Ability to manage demanding stakeholders, challenge assumptions, and prioritize when capacity is limited.
• Strong analytical problem solving from question to recommendation.
• Advanced SQL and experience with modern BI platforms such as Looker, Omni, or similar.
• Understanding of data modelling, transformation, reporting, and data quality.
• Experience using emerging AI tools within Analytics and validation of outputs

Responsibilities

• Lead, coach, and develop a small multidisciplinary team across Analytics, BI, Data Engineering, reporting, and data quality.
• Act as the primary Data & Analytics partner to senior leadership across commercial, customer, financial, and operational priorities.
• Own the team’s roadmap and prioritize based on business impact.
• Translate ambiguous business questions into clear analytical problems, insights, and actionable recommendations.
• Improve reporting, KPI frameworks, data quality, and recurring analytical processes.
• Partner with centralized Data Engineering teams to build scalable solutions using shared platforms and standards.
• Support adoption of AI capabilities across predictive analytics, MLOps, and AI-enabled analytics.
• Improve data fluency across the business and enable evidence-based decisions.
• Remain hands on where appropriate to interrogate data and support the team.

Skills

Leadership

Stakeholder management

SQL

Looker/BI platforms

Data modelling

Analytical problem solving

Communication

Project management

AI tools

Tools

Looker

Omni

Snowflake

dbt

Python

AI tools

Job description

We’re partnering with a well-established, data rich consumer business looking for a Senior Manager, Data & Analytics to lead a team across Data Engineering, Analytics, and BI, while owning the broader Data & Analytics roadmap for the business unit.

This is a player coach role, approximately two thirds leadership and one third hands on, combining team development, senior stakeholder partnership, strategic prioritization, and technical oversight. We’re looking for an analytics first leader with strong commercial acumen and technical credibility who can ensure the team is focused on the highest impact business problems and translate data into better decisions across the organization.

What You’ll Be Doing

• Lead, coach, and develop a small multidisciplinary team across Analytics, BI, Data Engineering, reporting, and data quality
• Act as the primary Data & Analytics partner to senior leadership across commercial, customer, financial, and operational priorities
• Own the team’s roadmap, determining where Data & Analytics can have the greatest business impact and prioritizing accordingly
• Translate ambiguous business questions into clear analytical problems, insights, and actionable recommendations
• Improve reporting, KPI frameworks, data quality, and recurring analytical processes across the organization
• Partner with centralized Data Engineering teams to build scalable solutions using shared platforms, tools, and standards
• Support the adoption of emerging capabilities across predictive analytics, MLOps, customer data platforms, and AI enabled analytics
• Improve data fluency across the business, helping senior leaders challenge assumptions and make better evidence based decisions
• Remain hands on where appropriate, using your technical experience to interrogate data, challenge approaches, and support the team

What We’re Looking For

• 8+ years of experience across Data Analytics, BI, Data Science, or a related discipline, with flexibility for candidates with 6 to 7 years of particularly relevant experience
• Proven people leadership experience, ideally managing a team spanning multiple Data disciplines
• Experience owning a broad Data & Analytics remit, rather than a narrowly focused reporting or analytics function
• Strong commercial acumen and experience partnering directly with senior business leaders
• The ability to manage demanding stakeholders, challenge assumptions, and make clear prioritization decisions when capacity is limited
• Strong analytical problem solving skills, particularly taking ambiguous business problems from initial question through to recommendation and action
• Advanced SQL and experience with modern BI platforms such as Looker, Omni, or similar
• Strong understanding of data modeling, transformation, reporting, and data quality, with enough technical depth to work effectively alongside Data Engineering
• Experience using emerging AI tools within Analytics and an understanding of how to validate their outputs appropriately
• Strong communication, project management, and stakeholder management skills

Nice to Have

• Experience within retail, ecommerce, CPG, subscription, or another data rich consumer business would be particularly valuable.
• Exposure to Snowflake, dbt, and Python would also be beneficial, as would experience leading Data & Analytics for a business unit within a larger enterprise data organization.