Associate Director, Global Solutions

Summary

Join Kinesso's growing Data & AI services team as a Sr. Data and AI Strategist. In this leadership role, you will act as a trusted advisor to clients, guiding them in leveraging data, AI, and marketing technologies for business success. You will lead consulting engagements focused on data and AI-driven marketing transformation, working with multidisciplinary teams to deliver innovative solutions. This position requires a strong consulting background, strategic thinking, and the ability to deliver measurable business impact. The ideal candidate will have extensive experience in data strategy, AI, and marketing transformation, along with strong communication and presentation skills. Kinesso offers a competitive total rewards package, including medical and dental coverage, 401(k) plans, and paid family benefits.

Requirements

• 5+ years of experience in strategic consulting, with a focus on data strategy, AI, and marketing transformation
• Demonstrated success delivering data-driven projects that drive measurable business outcomes and client growth
• Proven expertise in leveraging customer data (1P, 2P, 3P) to enable marketing innovation and organizational adoption
• Strong experience in data-driven marketing, including campaign development, measurement, and optimization
• Working knowledge of the Martech ecosystem, including Customer Data Platforms, cloud-based data platforms (e.g., Databricks, Snowflake), and journey orchestration tools
• Ability to translate business challenges into data and AI strategies and actionable solutions
• Exceptional communication and presentation skills, capable of influencing both technical and non-technical stakeholders
• Experience working in cross-functional and intercultural teams, with strong interpersonal and organizational abilities

Responsibilities

• Deliver Data and AI strategy consulting engagements, delivering impactful, best-in-class solutions that establish a strong data foundation for digital and marketing transformation
• Assess clients' key business priorities and evaluate their data and AI capabilities to guide their journey toward advanced data intelligence and marketing maturity
• Develop tailored, actionable recommendations leveraging best practices in customer data, AI, and analytics, including: Strategic use of Customer Data Platforms and data management tools
• Develop tailored, actionable recommendations leveraging best practices in customer data, AI, and analytics, including: Deployment of AI and analytics capabilities for marketing and business impact
• Develop tailored, actionable recommendations leveraging best practices in customer data, AI, and analytics, including: Ensuring data quality and governance frameworks are implemented effectively
• Develop tailored, actionable recommendations leveraging best practices in customer data, AI, and analytics, including: Designing scalable identity strategies and consent/preference management
• Develop tailored, actionable recommendations leveraging best practices in customer data, AI, and analytics, including: Enabling activation through data clean rooms, measurement, and attribution
• Deliver clear findings in professional deliverables, including prioritized use cases, gap analyses, solution architectures, future state designs, and actionable roadmaps
• Collaborate with cross-functional teams, including data strategists, analysts, experience experts, and technical specialists, as well as partners' SMEs and solution architects
• Stay ahead of industry trends, emerging technologies, and best practices to ensure solutions remain cutting-edge and relevant to client needs

Preferred Qualifications

• Familiarity with machine learning, statistics, or empirical economics, and tools like Adobe/Google Analytics and data visualization platforms (e.g., Power BI, Tableau)
• Understanding of digital touchpoint data (e.g., cookies, device IDs) and its implications for customer data strategies
• Experience in Media and AdTech, with a strong grasp of how these align with AI and data-driven marketing approaches
• Knowledge of experimentation and digital maturity frameworks
• A quantitative background in fields such as Business Informatics, Computer Science, Economics, or a related discipline

Benefits

• Medical and dental coverage
• 401(k) plans
• Flex spending
• Life insurance
• Disability
• Employee discount program
• Employee stock purchase program
• Paid family benefits
• Discretionary time off days
• Company-wide Appreciation Weeks and Wellness Days
• Competitive salary
• Eligibility for an annual discretionary incentive award or a relevant incentive award