Analytics Strategy Engagement Manager

Aimpoint Digital•Atlanta, GA

1d•Remote

About The Position

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 strategy practice. As a Strategy Engagement Manager, you will act as a trusted strategic advisor to our clients—partnering with clients as they shape their Data, Analytics, and AI transformation agendas. You will work at the intersection of business, technology, and innovation, driving value through enterprise data and AI strategies and translating vision into executable roadmaps. In this role, you will lead client engagements that determine business needs and desired future state capabilities or products that can quantify expected value and business impact, specifically related to data, analytics, and AI investments. You’ll partner closely with client stakeholders and Aimpoint’s technical teams to develop actionable strategies across enterprise data, analytics, AI, governance, operating models, and data/AI product opportunities. Additionally, you will drive the development and evolution of our go-to-market Strategy offerings by supporting business development, shaping proposals, and developing reusable methodologies and frameworks.

Requirements

Bachelor's degree required, Master’s in Business or related field preferred
5+ years of recent consulting, advisory, or other client facing strategy roles leading Data & Analytics or AI projects & teams or experience leading initiatives around data, analytics, or AI strategy
Demonstrated experience working with modern data platforms and tools, such as: Anthropic’s Claude Suite, OpenAI, Snowflake, and Databricks with a functional understanding of AWS, Azure, GCP
Demonstrated ability to structure ambiguous problems, discover and define requirements, build and deliver strategic recommendations, and translate them into actionable roadmaps
Strong understanding of AI and GenAI capabilities, limitations, and enterprise implications, without requiring hands-on experience building models, pipelines, or MLOps frameworks

Nice To Haves

Proven track record of developing data governance and AI governance programs, including ethical and regulatory considerations
Working knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch), RPA, and MLOps practices is a plus
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
Certifications such as Certified Data Management Professional (CDMP), PMI-ACP, or AI Governance/Responsible AI are a plus

Responsibilities

Lead client engagements focused on Enterprise Data & AI strategies, aligning business objectives to solutions that are designed to scale
Conduct stakeholder interviews, workshops, and assessments to evaluate current-state analytics and AI maturity across people, process, technology, governance, and readiness for scale
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)
Identify and define data, analytics, & AI use cases, including the value proposition, feasibility and implementation plan
Work closely with cross functional teams to define future-state data architectures, data governance models, data pipelines, MLOps frameworks, and product lifecycle workflows to support trusted data consumption
Develop strategy deliverables, including roadmaps, operating models, governance structures, business cases, use-case prioritization frameworks, and transformation plans
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.