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Analytics and Automation Senior Manager

Job in Covington, Kenton County, Kentucky, 41011, USA
Listing for: Cherry Bekaert
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

This individual will play a major role in the vision, strategy, and delivery of enterprise‑grade AI and automation solutions for clients across industries. The individual partners with executive leaders to identify transformation opportunities, architect modern AI/ML and automation platforms, and ensure successful execution of high‑impact programs. The Director/senior manager will also expand client relationships, shape go‑to‑market offerings, and elevate the firm’s AI and automation capability through thought leadership and cross‐functional collaboration.

DUTIES

AND RESPONSIBILITIES Strategic & Executive Leadership
  • Define and drive AI, Automation, and Analytics strategies that align technology investments with business objectives.
  • Serve as a senior advisor to client executives on modernization, data driven transformation, and AI enabled operating models.
  • Lead internal capability building, including standards, governance, delivery frameworks, and best practices for enterprise AI systems.
  • Contribute to thought leadership, market positioning, and development of innovative service offerings.
Technical & Delivery Leadership
  • Lead solution architecture, design, and delivery of scalable, secure AI/ML, analytics, and automation solutions.
  • Provide subject matter leadership in generative AI, agentic architectures, enterprise automation, and data engineering.
  • Ensure rigorous model lifecycle management including validation, scalability, responsible AI governance, and ongoing monitoring.
  • Guide technical teams in modern engineering practices (MLOps/LLMOps, IaC, CI/CD, cloud native development).
  • Lead multiple engagement teams, ensuring quality, scope control, and technical excellence across programs.
  • Business Development & Client Engagement
  • Build and expand executive level client relationships, serving as a trusted advisor on AI and automation strategy.
  • Drive sales efforts including opportunity shaping, solutioning, proposals, and executive presentations.
  • Identify and convert cross sell and expansion opportunities across existing accounts.
  • Represent the AI/Automation practice in client forums, industry events, and strategic firm initiatives.
JOB COMPENTENCIES, SKILLS, and ABILITIES
  • Visionary leadership and strategic thinking, with the ability to guide client executives through technology modernization initiatives, from defining application roadmaps and aligning technology to business priorities, to designing and implementing new technology solutions for clients.
  • Deep professional services expertise, capable of navigating complex client environments and driving outcomes that combine innovation and business value.
  • Skilled in leading organizational change and guiding clients through digital and operational transformation.
  • Proven ability to grow client accounts, including identifying new opportunities, influencing C-level stakeholders, and closing high-value deals. Demonstrated track record of meeting or exceeding sales goals required.
  • Strong client management skills, with the ability to build and nurture long‑term client relationships and serve as a trusted advisor. Ideal candidate has deep relationships that can quickly lead to new business growth for the firm.
  • Exceptional project management skills with the ability to manage multiple projects while ensuring high‑quality outcomes.
  • Architects and delivers scalable, secure, production‑grade AI systems using advanced knowledge of Generative and Agentic AI technologies, cloud platforms, and SAAS analytic solutions, from leading providers.
  • Deep understanding of generative AI, agentic systems, machine learning, and enterprise data architectures.
  • Hands‑on experience with RAG, LLM fine‑tuning, workflow orchestration, and production‑grade AI deployments.
  • Strong Python proficiency and familiarity with modern cloud AI ecosystems (Azure, Databricks, AWS, Google).
  • Understand integration concepts (APIs, connectors, data flow) and experience working with data across systems. Hands on experience in MCP a plus.
  • Expertise in cloud‑native architecture, software engineering, MLOps/LLMOps, CI/CD, and infrastructure as code.
  • Background in full stack development or cloud-native architecture and knowledge of…
Position Requirements
10+ Years work experience
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