Vice President Analytics & Applied AI/ML Scientist Product Owner
Vice President Analytics & Applied AI/ML Scientist Product Owner
Posted on :
12-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Description
You are a strategic thinker passionate about driving solutions in analytics and intelligence products. You have found the right team.
As a Vice President Analytics & Applied AI/ML Scientist Product Owner within our Sales Enablement Product team you will be responsible for setting and improving our organizational objectives and ensuring their consistent accomplishment.
Job Responsibilities:
- Develop requirements and work closely with application and data engineering teams to design and deliver intelligence products such as Search and Personalization.
- Be a thought partner to product leaders for analyzing AI/ML use cases. Help transform business requirements into AI/ML specifications determine highlevel data needs define milestones and ensure timely delivery.
- Understand business processes enduser Jobs to be Done and help drive product instrumentation efforts and analytics to enable datadriven product and design decisions.
- Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business results.
- Exercise sound technical judgment anticipate bottlenecks escalate effectively and balance business needs versus technical constraints.
- Help team members enhance their skills by providing guidance on ML via knowledgesharing sessions. Participate and contribute back to firmwide Machine Learning communities.
Required qualifications capabilities and skills:
- Formal training or certification on software engineering concepts and 5 years of applied experience.
- Atleast 10years of expereince (BE/)/ 8years (ME/MS) or 5years (PhD) degree in Computer Science Statistics Mathematics or Machine Learning.
- Strong programming knowledge of Python Spark; Strong grasp on vector operations.
- Experience as a handson practitioner developing strategic roadmap deployment of robust and scalable AI/ML/Data Science solutions and products.
- Deep knowledge in Data structures Algorithms Machine Learning Data Mining Information Retrieval Statistics AI/ML/Data Science techniques both exploratory and in production.
- Ability to set the analytical direction for projects transforming vague business questions into structured analytical. Leverage data and statistical analysis to identify core issues separate signal from noise synthesize insights and drive decisive outcomes.
- Product management experience in one or more of the following areas: personalization advertising feeds and ranking optimization userfacing optimization AIdriven products and features agentic workflows.
- Strong analytical and critical thinking articulate and clear written (documents & PowerPoint) and oral expression.
- Team Player with the ability to inspire collaboration among teams composed of both technical and nontechnical members senior and junior audience.
- Proactive high intellectual curiosity ability to navigate ambiguity and forge a path forward.
Preferred qualifications capabilities and skills:
- Experience in machine learning frameworks: TensorFlow PyTorch pyG Keras MXNet ScikitLearn.
- Demonstrated expertise in machine learning frameworks: TensorFlow PyTorch pyG Keras MXNet ScikitLearn.
- Experience in Natural Language Processing (NLP) or Large Language Models (LLM) or Computer Vision and other machine learning techniques including classification regression algorithms.
- Experience in using GenAI (OpenAI or other models) to solve business problems.
- Experience in training/inference/ML ops on public cloud AWS.
- Knowledge of Sales CRM is a plus.
Required Experience:
Chief
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
