Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. We're a dynamic team committed to solving our client's most challenging business problems in partnership with the industry's most innovative software providers. This position is within our analytics strategy practice.
What You Will Do
As an Analytics & AI Strategy Engagement Manager, you will act as a trusted strategic advisor to our clients—partnering with business leaders, data owners, and C-suite executives to shape their Data, Analytics, and AI transformation agendas. You will work at the intersection of business, technology, and innovation, driving value through enterprise data strategies, AI enablement, data product development, and monetization initiatives. You will assess the current state of clients’ data landscapes, AI readiness, and analytics maturity through structured stakeholder interviews, workshops, and diagnostic frameworks.
Based on this, you will determine business needs and desired future state capabilities or products and quantify expected value and business impact. You’ll partner closely with business stakeholders and our Data Engineers, Data Scientists, and Data Analysts to define target state architectures, use cases, operating models, governance, and strategic roadmaps that turn data into scalable, monetizable assets or analytics & AI solutions for the business. Additionally, you will drive the development and evolution of our go-to-market offerings across Enterprise Data Strategy, AI Strategy, and Data Product & Monetization Strategy.
Who We Are Looking For
We are seeking strategic thinkers and innovation leaders who are passionate about the transformative potential of AI, data, and analytics to deliver real business value. You are a highly skilled communicator and problem solver who can bridge the gap between technical teams and business decision-makers. You bring a deep understanding of modern data architectures, data product management, AI/ML applications, Data & AI solution development and data monetization models, and know how to translate them into executable strategies.
You are a driven self-starter who thinks strategically but can also define the practical steps required to execute that strategy successfully. You are interested in constantly learning, proactively developing expertise based on best practices and industry trends and understanding the latest analytical applications to paint the art of the possible for our clients. You thrive in ambiguity and possess a blend of consulting acumen, domain knowledge, and entrepreneurial drive. In this leadership role, you will own client engagements end-to-end, drive practice development, mentor team members, and actively scope projects, contribute to sales and growth of our Strategy offerings.
Key Responsibilities
- Lead the development of Enterprise Data & AI strategies, aligned to business objectives and designed to scale across the organization
- Define, design, and operationalize data products by identifying high-value data use cases, customer needs, and internal efficiencies
- Develop data monetization strategies, including internal value creation (e.g., operational efficiency, personalization) and external revenue models (e.g., data-as-a-service, API products)
- Evaluate current-state analytics and AI maturity across people, process, technology, and data; identify gaps and develop actionable roadmaps
- Collaborate with data scientists and AI/ML teams to define AI use cases, prioritize roadmaps, and design strategic AI frameworks to deliver AI at scale
- Design modern data governance models that support Analytics & AI enablement, regulatory compliance, and trusted data consumption.
- Work closely with cross functional teams to define future-state data architectures, data pipelines, MLOps frameworks, and product lifecycle workflows.
- Define value proposition and track KPIs to measure business impact of data products and AI solutions.
- Lead stakeholder alignment workshops, executive briefings, and change management initiatives to ensure adoption of strategies
- Create practice accelerators including delivery frameworks, maturity assessments, templates, and POVs for AI Strategy, Data Products, and Monetization.
- Support sales and business development by shaping proposals, participating in client pursuits, and driving thought leadership.
Qualifications
- Bachelor's degree required; Master’s in Business or related field preferred
- 5+ years of recent experience leading Data & Analytics or AI projects & teams or similar leadership role in a large-scale, complex organization
- 5+ years of strategy development and execution experience
- 3+ years in client-facing advisory roles, ideally within top-tier consulting firms or innovation-driven companies
- Experience leading engagements in Enterprise data strategy, AI strategy, data product design and development, or data monetization initiatives
- Strong Analytical skills with experience in business case development and strategic planning
- Strong understanding of AI/ML concepts (e.g., supervised/unsupervised learning, NLP, GenAI) and their business applications
- Proven track record of developing data governance and AI governance programs, including ethical and regulatory considerations
- Deep knowledge of data product management principles, including product lifecycle management, data service design, and go-to-market strategy.
- Familiarity with monetization models such as tiered data services, embedded analytics, and data marketplaces
- Familiarity with modern data platforms and tools: Snowflake, Databricks, Azure, AWS, GCP, dbt, coalesce, Dataiku, Alteryx, Sigma, Alation, Tableau, Power BI
- Working knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch), RPA, and MLOps practices is a plus
- Certifications such as Certified Data Management Professional (CDMP), PMI-ACP, or AI Governance/Responsible AI are a plus
We are actively seeking candidates for full-time, remote work within the US or UK. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.
