AI Transformation Managing Partner
Listed on 2026-05-31
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IT/Tech
AI Engineer, Data Science Manager
Responsibilities
- Strategy &
Roadmap:
Develop client-specific AI transformation strategies, aligning digital manufacturing initiatives (e.g., predictive maintenance, production AI, supply chain optimization) with clients’ strategic goals. - Revenue & Business Growth:
Drive practice growth - identify opportunities, lead pre‑sales and solution design, craft winning proposals, and secure major transformation deals. Collaborate with account teams on go‑to‑market plans and meet revenue targets for AI‑led services. - AI Program Leadership:
Oversee large‑scale AI programs for clients – orchestrate cross‑functional teams, manage program delivery, and ensure solutions achieve promised outcomes (e.g., cost savings, efficiency gains). Implement governance and best practices to guarantee robust, ethical AI deployment. - Client Advisory & Change Management:
Serve as a trusted advisor to client executives, guiding them through AI adoption. Manage stakeholder expectations and lead change management initiatives, ensuring client teams embrace new AI‑driven processes and capabilities. - Thought Leadership:
Represent Client Manufacturing in industry forums and innovation initiatives. Stay abreast of emerging tech (AI/ML, Industry 4.0, IoT) and incubate new solutions. Contribute to thought leadership (whitepapers, case studies) to bolster Client’s brand and inform clients’ strategies. - Governance & Compliance:
Establish governance frameworks for ethical AI use and data management in manufacturing. Ensure models are well‑monitored, secure, and compliant with industry regulations and company policies. - Innovation & Partnership:
Stay ahead of Industry 4.0 trends, piloting new technologies (e.g., digital twins, advanced robotics) in manufacturing contexts. Forge partnerships with tech providers and research bodies to accelerate innovation.
- Experience:
16+ years in technology consulting or digital transformation, with significant exposure to manufacturing/industrial sector projects. Demonstrated success leading AI or advanced analytics initiatives (from ideation to scaled execution) and delivering measurable business results for clients. - Technical:
Deep knowledge of AI/ML techniques, data analytics, cloud & IoT platforms, and Industry 4.0 technologies (smart factories, digital twins, aut omation). Familiarity with manufacturing systems (ERP, MES, SCADA) and MLOps best practices for scalable deployments. - Business & Consulting:
Strong business acumen with a background in strategy consulting or digital advisory. Exceptional client engagement and communication skills with experience influencing C‑suite stakeholders. Proven ability to develop business cases/ROI models and drive revenue (e.g., involvement in winning large consulting deals). - Leadership:
Outstanding program leadership abilities – orchestrating complex projects and diverse teams. Expertise in change management and fostering innovation culture. Strategic thinker with an entrepreneurial mindset and a passion for driving transformative change in manufacturing. - Success Measures:
Achievement of revenue growth targets (in AI consulting services), new deal wins and pipeline expansion; successful client outcomes (efficiency gains, cost savings, increased quality, etc.); high client satisfaction and reference ability; and development of new AI capabilities/offerings that strengthen market leadership in intelligent manufacturing.
Our client is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind:
We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at our client are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.
We will not tolerate discrimination or harassment based on any of these characteristics.
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