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Job Location: Bangalore/Bengaluru
The Enterprise Analytics and Data Science (EADS) organization is looking for an experienced AI/ML product owner to join our team and help us with managing innovative AI products for Wells Fargo. The incumbent is expected to have the required technical depth in software based products or have familiarity with AI/ML concepts to be able to drive the product vision working with technology, engineering and data science teams. S(he) needs to work closely with technology, data science, data engineering and LoB teams to drive product roadmap and implementation.
In this role, you will:
- Market Research: Studies market trends and best practices and incorporates them in the product
- Persona Management & Customer Journeys: Creates and manages core personas and their customer journeys. Creates user stories
- Product Backlog Management: Always maintains a healthy product backlog
- Product Implementation: Works with the technology team to plan, execute, and deliver product releases, feature enhancements. Work closely on UI/UX design
- Product Testing: Participates in testing product features
- Product Production Support: Supports product enablement, provisioning, and production support
- Product Training & Demos: Provides and support frequent demos to internal customers
- Product Adoption & Growth: Supports product adoption and growth strategy. Interact with different business leaders and COE’s to drive adoption
- Product KPI Definition & Tracking: Monitors product related performance and usage KPIs, and identifies opportunities for improving the user experience
- Provide thought leadership and drive product development / solution engineering
- Contribute to cloud migration strategy for AI/ML platforms and products (from on-prem to private cloud to public cloud)
- Work closely with business partners, data stewards, ML engineering and other IT teams to create, manage and enhance AI/ML products. Lead product strategy
Required Qualifications:
- 6 plus years of total experience across product management, solution engineering, software development
- B.S. / B.E. / B.Tech in quantitative disciplines like operations research, statistics, economics, econometrics, computer sciences, engineering, AI/ML
- Preferred : MBA from renowned business schools or Masters degree in business disciplines on top of Bachelors in quantitative fields
- Hands on experience in full lifecycle of the product from ideation, business case development, product build, testing, delivery, training, support and adoption. Experience with product portfolio in Saas, MLaaS space is a bonus
- 3 plus years as a product manager in at least 2 of these areas – AI, Machine Learning, Natural Language Processing, Natural Language Generation, Big Data, Chatbots, Recommendation engines, ML Ops, Data Science modeling platforms.
- Top candidate would have experience in building or managing a distributed computing, multi-tenancy platform, built on a big data ecosystem as a Product Manager.
- Top candidate would have worked on one of these Data Science Platforms: Domino Data Labs, Databricks, H2O.ai, Datakitchen, Dataiku, C3.AI, Algorithmia, IBM CP4D, Modelshop, ModelOp, Sigopt, Datarobot ParallelIM, Kubeflow, Valohai, Spell.
- Technical software development experience in the field of data driven products is a plus
- Persuasive written and verbal communication skills, proven ability to create client ready marketing material and documentation is a plus
Desired Qualifications:
- Familiarity with AI/ML modeling frameworks like Scikit-learn, SparkML, TensorFlow, PyTorch, Keras
- Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
- Ability to research and report on a variety of issues using problem solving skills
- Ability to interact with integrity and a high level of professionalism with all levels of team members and management
- Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment
- Ability to learn the business aspects quickly, multitask and prioritize between projects.
- Exhibits appropriate sense of urgency in managing responsibilities
- Ability to accurately process high volumes of work within established deadlines
- Available to flex schedule periodically per business requirements
- Demonstrate strong negotiation, communication & presentation skills
- Demonstrates a high degree of reliability, integrity and trustworthiness
- Takes ownership for responsibilities for own and drive same effort to the team
- Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player
- Be proactive and get engaged in organizational initiatives
Market Skills and Certifications
- Good to have certifications in Data Science, AI/ML or Big data
- Certification on Cloud services (preferably GCP) – Google Professional Cloud architect, Google AI/ML Certification
- Agile practices like Scrum Master, SAFe, etc.
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