[Hiring] Data Strategy & Growth Manager @Fusion92

Role Description

The Data Strategy & Growth Manager serves as a strategic connector between Data Science & Strategy (DSS), internal departments, and external clients – identifying opportunities to apply data more broadly across the organization while ensuring data strategies are translated into high-quality, timely, and impactful execution.

Reporting to the SVP, Strategy – Data Science & Technology, this individual will work closely with the VP Data Strategy and cross-functional leaders to understand business and client needs, uncover opportunities where consumer data can create value, and bring the right data strategies, products, and capabilities into those conversations. You’ll help teams across the organization understand what data is available, how it can be leveraged, and how DSS can support their objectives – from client strategy and marketing services to new business and product development – all with the goal of driving stronger client outcomes. The role also serves as a critical connection point between business stakeholders and the Data Science execution team. You’ll help ensure that initiatives are clearly scoped, the right data and inputs are available, expectations and timelines are aligned, and final outputs are accurate, relevant, well-presented, and fit for purpose.

This is a highly consultative role that combines data strategy, cross-functional influence, internal enablement, client engagement, and execution leadership. The ideal candidate is a strong communicator and relationship-builder with data strategy fluency, a natural ability to uncover opportunities, and the credibility to translate complex data capabilities into clear business value while ensuring those capabilities are delivered effectively.

Qualifications

• 5+ years of experience in data strategy, consulting, client services, business development, marketing strategy, or a related role involving cross-functional influence and solution development.
• Experience with 3rd party aggregated data sources (i.e. Experian, Acxiom, etc).
• Strong understanding of how data and analytics can be applied across marketing, media, customer, and business use cases, and how 1st party client data can be used with 3rd party marketing data.
• Strong consultative and relationship-building skills, with the ability to influence stakeholders who may not have a deep understanding of data or analytics.
• Excellent communication, presentation, and storytelling skills – able to translate complex data capabilities into clear business value.
• Commercial mindset with the ability to identify opportunities, build internal demand for data capabilities, and contribute to new business and account growth.
• Proven ability to work across departments and influence without direct authority.
• Experience working closely with data science, analytics, technology, or data product teams, with enough technical fluency to confidently discuss concepts such as segmentation, modeling, data enrichment, identity, audiences, and data activation.
• Strong strategic thinking and problem-solving skills, with the ability to move from an ambiguous business problem to a clear data opportunity and path forward.
• Background in data, marketing, media, data services, consulting, technology, or a related environment.

Requirements

• Partner with peers and leaders across the organization to identify where data, analytics, and data products can create new value for clients and internal teams.
• Build strong relationships across departments such as Marketing Services, Client Services, and Sales, becoming a trusted advisor on how data can support their objectives.
• Proactively bring relevant data capabilities, ideas, and use cases to teams and help increase adoption of DSS capabilities and data assets across the organization.
• Translate business needs into clear data strategies and opportunities, connecting teams to the right data, products, capabilities, and resources.
• Develop compelling presentations, examples, case studies, and other materials that make data capabilities easy for non-technical teams to understand, sell, and apply.
• Identify opportunities to expand the use of existing data assets, products, and solutions across clients, teams, and use cases.
• Partner with client-facing teams to identify opportunities where data can strengthen client strategies, pitches, proposals, and ongoing engagements.
• Participate in client and prospect conversations to understand business challenges and translate them into potential data solutions.
• Collaborate with Data Science leadership to shape solutions that are strategically valuable, commercially viable, and feasible to deliver.
• Help articulate the business value of data capabilities in a clear, compelling, client-friendly way.
• Identify opportunities to expand existing client relationships through additional data, analytics, or data product applications.
• Partner closely with the Data Science execution team to ensure initiatives are aligned with business and client objectives and set up for successful delivery.
• Translate business and client requirements into clear scope, priorities, assumptions, timelines, and expected deliverables for Data Science.
• Ensure the team has the data, access, inputs, documentation, and other requirements needed to execute effectively, proactively identifying and resolving gaps or dependencies.
• Maintain visibility into the DSS execution pipeline, helping keep work on track and proactively addressing risks, ambiguities, quality concerns, and delivery challenges.
• Review data science outputs from a strategic and business perspective to ensure they are accurate, relevant, appropriately presented, and aligned with stakeholder expectations.
• Help establish consistent standards for how DSS work is scoped, quality-checked, communicated, and delivered, and continuously identify ways to improve the connection between strategy and execution.
• Develop repeatable frameworks and playbooks that make it easier for teams to incorporate data into client strategy, new business, and cross-functional initiatives.
• Track adoption and impact of data capabilities across the organization and identify opportunities to increase utilization and value.
• Serve as the connective thread between DSS and cross-functional stakeholders, ensuring priorities, expectations, and communication remain aligned throughout an initiative.
• As the team scales, manage additional Strategist and/or Project Manager resources supporting data strategy, enablement, and execution.

Benefits