Wells Fargo is hiring Lead Data Product Management Consultant 2024 | Apply Now

Role: Lead Data Product Management Consultant

Location: HYDERABAD

 Work type:  Full time

Company: Wells Fargo

Salary: Not Disclosed

About Wells Fargo Company

Wells Fargo & Co (WFC) is a different financial provider preserving corporation that offers retail and wholesale banking, and wealth management services to people, organizations, immoderate-net-nicely well-worth people, and establishments, through its subsidiaries.

Lead Data Product Management Consultant Description

A Lead Data Product Management Consultant is a pivotal function inside an enterprise, focusing on the development and control of information-pushed products. This role entails taking part with diverse stakeholders to outline product methods, oversee the product development lifecycle, and make sure that records merchandise meet enterprise wishes and drive rate. The representative leverages an understanding of statistics generation, analytics, and product control to create contemporary solutions that permit fact-driven desire-making and operational efficiencies.

Key Responsibilities

1. Product Strategy and Vision:

Market Analysis: Conduct thorough market research to understand enterprise dispositions, competitive panorama, and purchaser dreams.

Vision Development: Develop a clean imaginative and prescient facts merchandise, aligning with the organization’s normal technique and objectives.

Roadmap Creation: Create and maintain a product roadmap that outlines the development, release, and evolution of facts products.

2. Stakeholder Collaboration:

Requirement Gathering: Work carefully with business agency stakeholders, which consist of executives, advertising and marketing, sales, and operations, to accumulate requirements and recognize ache points.

Communication: Serve as the number one factor of contact for all product-related communications, ensuring stakeholders are knowledgeable approximately development, changes, and updates.

Cross-Functional Team Leadership: Lead bypass-practical teams, inclusive of statistics scientists, engineers, designers, and analysts, to supply awesome facts merchandise.

3. Product Development Lifecycle:

Ideation: Facilitate brainstorming durations to generate a modern mind for brand-new records products or upgrades to provide products.

4. Data Management and Analysis:

Data Strategy: Define information governance, statistics great, and information manipulation practices to ensure data integrity and reliability.

Analytics: Utilize advanced analytics and gadget-getting-to-know strategies to derive insights from information, the usage of product innovation and development.

Performance Metrics: Establish key universal overall performance indicators (KPIs) and metrics to degree the success and impact of facts products.

5. User Experience and Design:

User-Centered Design: Ensure that information merchandise is designed with the consumer in thoughts, imparting a continuing and intuitive consumer revel.

Prototyping and Testing: Develop prototypes and conduct user checking out to validate assumptions and refine product competencies.

Feedback Integration: Collect and examine purchaser comments to constantly improve product functionality and value.

Continuous Improvement:

Monitoring: Continuously monitor product average overall performance and character comments to emerge as privy to regions for development.

Iteration: Implement a cycle of constant generation and enhancement, leveraging new technology and methodologies to keep statistics products competitive and relevant.

Innovation: Stay up to date with employer developments, rising technologies, and satisfactory practices to electricity continuous innovation.

Required Skills and Qualifications

1. Educational Background:

Degree: Bachelor’s or Master’s degree in Computer Science, Data Science, Business Administration, or a related discipline.

Certifications: Relevant certifications in records management, product control, or analytics are a plus.

2. Professional Experience:

Experience: Extensive enjoyment in product control, particularly with data-pushed products.

Leadership: Proven track record of main go-practical groups and coping with complicated tasks.

3. Technical Skills:

Data Expertise: Strong knowledge of facts science, gadget studying, and analytics.

Technical Proficiency: Proficiency in facts management tools, analytics systems, and programming languages (e.g., SQL, Python, R).

Collaboration: Strong interpersonal competencies to work efficaciously with diverse groups and construct consensus.

4. Project Management:

Planning: Exceptional undertaking-making plans and organizational abilities.

Execution: Ability to manage more than one project concurrently and deliver on time.

Personal Attributes

Strategic Vision: Ability to think strategically and align product development with long-term business desires.

Adaptability:  Flexibility to conform to converting priorities and emerging challenges in fast-paced surroundings.

Innovation: A proactive method to innovation, constantly searching for new approaches to enhance products and strategies.

Customer Focus: Deep dedication to know-how and assembly of customer desires and expectations.

Integrity: High ethical requirements and dedication to retaining records privacy and safety.

Career Path and Advancement

A Lead Data Product Management Consultant can develop into better management roles which include Director of Product Management, Vice President of Product, or Chief Data Officer (CDO). With further experience and continued expert development, opportunities to transition into broader government roles within an organization are also viable.

Conclusion

The role of a Lead Data Product Management Consultant is crucial in driving the fulfillment of data merchandise inside an enterprise. This position requires a mix of technical knowledge, strategic imagination, and prescient, and robust leadership abilties. By effectively coping with the development and implementation of statistics products, these specialists permit groups to leverage information for informed decision-making, operational performance, and competitive benefit.

Apply Now: Lead Data Product Management Consultant

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