Director, Data Strategy

Role Overview

The Director of Data Strategy at Bounteous will lead the Modern Business Platforms (MBP) practice, driving results for clients through effective use of data to activate marketing use cases. This role involves embracing and evangelizing new marketing, data, and analytics technologies, leading initiatives to improve the competency of the Martech platforms practice, and generating ideas and processes to deliver successful project solutions.

Responsibilities

• Leads cross-functional engagements and ensures cohesive delivery across competencies.
• Uncovers use cases and data initiatives in alignment with marketing business objectives.
• Conducts data strategy programming, including assessing data signals, KPI setting, ecosystem and readiness assessments, co-innovation studio sessions, roadmapping deliverables, and value creation cycles.
• Assesses client data maturity, understands stakeholder needs, facilitates prioritization, and coordinates a strategic data and agile roadmap of program activities.
• Provides perspectives on necessary data advancement recommendations, including data warehousing, modeling, engineering, business intelligence, or other data activities to support business outcomes.
• Works with delivery pods (channel owners, competencies, functional teams) to harmonize activities and deliverables across the co-innovation program, translating business objectives into activities & marketing objectives, ideating on innovation, and outlining the tactics necessary to achieve results.
• Provides oversight to Data Strategy team members on complex accounts.
• Uses the results of analysis to communicate program success and persuade account and client stakeholders for expansion and investment, including opportunities for accelerator engagements.

Qualifications

• 6+ years of relevant work experience in digital, consulting, or analytics.
• Functional expertise with digital analytics platforms (Adobe Analytics, Google Analytics).
• Knowledge and familiarity with BI tools like Tableau, Power BI, or similar and SQL.
• Familiarity in cloud technologies (Snowflake, AWS, Azure) and their capabilities as they relate to customer, digital, and operational data and digital analytics.
• Familiarity with a variety of marketing technology platforms (Adobe, Salesforce, etc.).
• Industry knowledge of the advanced analytics landscape.
• Understanding of data governance, compliance, and privacy issues.

Preferred Qualifications

• Knowledge of cloud technologies (Snowflake, AWS, Azure).
• Familiarity with a variety of marketing technology platforms (Adobe, Salesforce, etc.).
• Industry knowledge of the advanced analytics landscape.
• Understanding of data governance, compliance, and privacy issues.

Information Security Responsibilities

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols.
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets.
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.).
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information.

Pay and Benefits

$157,000 - $227,695 a year. Individual pay is determined by many factors, including experience, relevant education or training, and organizational needs.

Company Information

• Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise.
• We help organizations design, build, and scale AI-driven products, platforms, and processes.
• Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.
• Bounteous is an equal opportunity employer and is willing to sponsor eligible candidates for employment visas.
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.