What are the responsibilities and job description for the SR Technical Engineering Manager position at Critical River, Inc.?
Job Details
Hi All,
Greetings from criticalriver..!!
Please find the below details of the open position for CR fulltime .
Position Title: SR Technical Engineering Manager
Location: Pleasanton CA (Hybrid)
Employment Type: Full-time
Summary:
We are seeking an accomplished senior manager of Data Science, AI, and Data Engineering Practice to lead our team of data scientists, AI specialists, and data engineers. This role will focus on expanding our product development and consulting practice and driving transformative data solutions for clients across various industries. The ideal candidate has a strong blend of technical expertise, leadership, and consulting experience, with a proven track record of designing and implementing AI-driven solutions that generate measurable business value.
Key Responsibilities
Practice Leadership: Define and execute the strategic vision for the Data Science, AI, and Data Engineering consulting practice, establishing goals for revenue growth, client satisfaction, and team development.
Client Engagement: Serve as a primary point of contact for senior level executives, providing regular updates on engineering product development to meet specific business challenges.
Solution Design & Delivery: Lead the design, development, and deployment of scalable, AI-powered solutions and advanced analytics models, ensuring alignment with client objectives and industry best practices.
Team Leadership: Recruit, mentor, and manage a team of high-performing data scientists, AI/ML engineers, and data engineers. Promote a culture of innovation, collaboration, and continuous learning.
Thought Leadership: Stay abreast of industry trends in AI, machine learning, and data engineering to drive innovation within the practice. Represent the organization in conferences, webinars, and publications to strengthen brand presence.
Operational Efficiency: Develop processes, methodologies, and best practices that enhance project delivery, operational efficiency, and the overall quality of the consulting practice.
Revenue Growth: Collaborate with sales and marketing teams to identify opportunities, develop proposals, and contribute to business development efforts that support practice growth and profitability.
Compliance & Data Governance: Ensure all solutions adhere to data privacy laws, compliance regulations, and data governance best practices, maintaining the highest standards of data integrity and security.
Key Qualifications
Education: Bachelor or Master s in Data Science, Computer Science, Statistics, or a related field.
Experience: 10 years in data science, AI, or data engineering, with at least 5 years in a consulting or client-facing leadership role.
Technical Expertise:
Proficiency in machine learning, data engineering, data platforms and AI frameworks.
Strong understanding of data architecture, ETL/ELT processes, Data Modeling, Data architecture and big data technologies
Knowledge of MLOps and DataOps practices and tools, ensuring smooth and scalable deployment of models and data workflows.