
51 - 200 employees
🤖 Artificial Intelligence
Artificial Intelligence • Analytics • Consulting
Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.
🕒 May 2
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51 - 200 employees
🤖 Artificial Intelligence
Artificial Intelligence • Analytics • Consulting
Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.
• Lead large, complex Analytics and AI strategy engagements for key clients, including multi-workstream initiatives spanning enterprise strategy, operating model design, governance, roadmap development, and value realization • Serve as a senior trusted advisor to executive stakeholders on enterprise Analytics and AI priorities, investments, transformation approaches, governance, and organizational adoption to grow strategic accounts • Guide clients through structured assessments of current-state analytics and AI maturity across people, process, technology, governance, and readiness for scale • Lead executive workshops, briefings, and stakeholder alignment sessions that drive decision-making, clarity, and buy-in across complex client organizations • Oversee the development of strategy deliverables, including roadmaps, operating models, governance structures, business cases, use-case prioritization frameworks, and transformation plans • Partner with decision science, engineering, and platform teams to ensure strategy recommendations are aligned to enterprise realities, delivery constraints, and long-term client objectives • Lead business development initiatives including proposals, solution shaping, strategic client pursuits, offering development, and go-to-market efforts that support practice growth • Coach and develop consultants, engagement managers, and other team members by providing leadership, feedback, and example in client service, strategic thinking, and executive communication • Develop new solutions/offerings, market-facing points of view, and intellectual property related to Data Strategy, AI Strategy, and enterprise transformation.
• Bachelor’s or Master’s degree in Business or quantitative field preferred • 7+ years of experience in analytics, data, digital, or AI strategy roles, ideally in a client-facing consulting environment • 5+ years of experience in leadership roles, including leading teams, major workstreams, complex client engagements, or practice-level initiatives • Strong written and verbal communication skills, with the ability to influence executive stakeholders and present complex ideas clearly, concisely, and credibly • Strong analytical and value-oriented mindset, with experience developing business cases, ROI narratives, investment recommendations, and outcome-based strategies • Proven ability to lead business development activities such as proposals, solution development, offering creation, strategic pursuits, and account growth initiatives and attain sales goals • Strong understanding of AI and GenAI capabilities, limitations, and enterprise implications, without requiring hands-on experience building models, pipelines, or MLOps frameworks • Experience leading, coaching, and developing cross-functional teams and aligning business, technical, and executive stakeholders around shared strategic priorities and measurable outcomes, raising the quality and consistency of practice delivery • Prior exposure to organizational change, operating model design, governance, or enterprise transformation initiatives preferred • 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.
• Professional development opportunities • Remote work options
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