DATA PRODUCT MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: October 09, 2024 - The Data Product Manager has expertise in statistical techniques and predictive modeling, including time series forecasting and text mining. This position utilizes advanced data manipulation skills in SQL and Python to transform insights into strategic actions aligned with organizational goals, complemented by proficiency in data management and visualization. This role demonstrates strong interpersonal and communication abilities, effectively collaborating with senior leaders and stakeholders to foster decision-making and transparency while managing product requirements and leveraging Agile methodologies and cloud technologies.
Essential Hard and Soft Skills for a Standout Data Product Manager Resume
- Data Analysis
- Product Lifecycle Management
- Data Visualization
- SQL
- A/B Testing
- Data Modeling
- Agile Methodology
- Data Governance
- Data Architecture
- Business Intelligence.
- Communication
- Strategic Thinking
- Problem Solving
- Stakeholder Management
- Team Collaboration
- Adaptability
- Time Management
- Leadership
- Conflict Resolution
- Decision Making.
Summary of Data Product Manager Knowledge and Qualifications on Resume
1. BA in Business Analytics with 6 years of Experience
- Ability to manage large-scale program initiatives in a complex environment
- Leadership skills including the ability to influence effectively in a matrix environment
- Strong public speaking skills
- Ability to synthesize strategies and initiative status into executive-level communications
- Advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skills
- Excellent verbal, written, and interpersonal communication skills
- Ability to execute in a fast-paced, high demand, environment while balancing multiple priorities
- Ability to manage in a matrixed organization environment
- Strong analytical skills with the ability to turn findings into executable plans to meet business objectives
- Experience building partnerships and consulting effectively with leadership
- Ability to consult, build, and maintain solid working relationships in and outside of the immediate department
- Knowledge and understanding of online authentication, authorization, fraud, security, or data technologies
2. BS in Computer Science with 5 years of Experience
- Experience with end-to-end product launches.
- Able to provide elegant solutions with a high degree of attention to detail.
- Strong communication and presentation skills (both written and oral), comfortable communicating to diverse audiences.
- Experience developing product specs, writing user stories, as well as identifying and prioritizing efforts to deliver results.
- Ability to prioritize multiple, cross-functional workstreams while also managing (sometimes) conflicting expectations from stakeholders.
- Accustomed to driving results in a collaborative, fast-paced environment with little instruction and oversight.
- Experience in consumer internet or e-commerce
- Experience with data engineering teams.
- Understand database schemas and ETL pipelines.
- Experience defining and shipping great features and products
- Experience documenting technical
- Experience in managing a major business platform (data, CRM, etc.)
- Experience in collaborating cross-functionally, including with Technology, UX, Marketing, and Finance teams.
- Strong comprehension of data engineering and the tools required to execute those responsibilities including data warehouse theory and technology, Microsoft SQL Server, cloud technology, pivot tables, and Tableau to create reports.
3. BA in Marketing Management with 6 years of Experience
- Experience with large data sets, machine learning, and/or data science projects
- Experience with data architecture
- A deep understanding of A/B testing
- Experience with progressively increasing responsibility in consumer software product management
- Ability to communicate clearly and effectively, both verbally and in writing
- Experience with agile development methodologies
- Fluidly prioritize typical job responsibilities along with ad hoc requests
- Ability to develop strong relationships built on mutual respect and a focus on continuous improvement
- Strong problem-solving, analytical, and decision-making skills.
- Able to interpret data and trends, diagnose problems, and formulate effective action plans to resolve issues.
- Proficient SQL knowledge to pull data independently.
- Flexible and open to change and new information
- Experience with A/B testing
4. BS in Data Science with 4 years of Experience
- Excellent understanding of enterprise data warehousing principles and ETL solutions
- Knowledge of the Events and Tradeshows industry
- Experience working on or with APIs for data delivery/ingestion
- Proven ability to manage multiple stakeholders and prioritize
- Excellent communication & influencing skills
- Experience within a data function, operating with stakeholders at a senior level
- Good understanding of technology and BI techniques, ideally experience in AWS
- Experience with Agile methodology including WIP management and backlog grooming/prioritisation
- Experience with creating user stories and business requirements for both technical and business teams
- Experience with using multiple data sets such as understanding data structures and performing basic data blending to assess project feasibility and complexity using SQL or SQL-based tools.
- Experience with Agile software development methodology
5. BS in Information Systems with 3 years of Experience
- Experience working with healthcare data
- Experience in data product management
- Able to define and manage complex process and/or product issues of a broad scope using independent judgment
- Demonstrated problem-solving skills
- Strong facilitation and consensus-building skills
- Ability to influence beyond authority
- Outstanding written, verbal, and presentation skills
- Strong analytical and quantitative skills, while also maintaining the ability to have big-picture conversations
- Experience in product design and product operations and some basic SQL skills
- Familiar with the product design and product development processes and deliver the MRD, Demo and PRD with high quality.
- Able to own one product throughout its life phases.
- Good communication skills and ability to ensure project delivery while working across business and function teams
6. BA in Product Management with 4 years of Experience
- Experience in delivering complex data processing and data pipelines using agile methodology
- Experience managing, manipulating, and optimizing data mapping in a large organization
- Knowledge of and experience in end-to-end SAP process
- Ability to communicate data mapping procedures and rules to non-technical partners
- Excellent written and verbal communication skills
- Solid organizational skills including attention to detail and multitasking skills
- Experience in product management for data applications
- Experience working on GTM strategy and implementation
- Experience working with an open-source community
- Understanding of massively parallel processing (MPP) data systems and unique abilities and challenges
- Ability to understand enterprise customers' needs, and a desire to drive solutions to problems
7. BS in Business Information Technology with 5 years of Experience
- Strong knowledge of financial markets and traded products
- Knowledge of one or more areas within Global Markets or related functions
- Experience managing discussions with multiple stakeholders
- Strong analytical and problem-solving skills, critical thinking
- Project management skills, ability to facilitate discussions across various levels of stakeholders
- Ability to work with large datasets using advanced Excel or SQL
- Ability to multitask and properly prioritize multiple projects
- Good communication, interpersonal and organizational skills
- Knowledge of the various functions within Global Markets trading organization and other functions interacting with Global Markets, such as Operations, Risk, Finance
- Experience with Python
- Proficient with data, analytics, and BI tools (Tableau, Looker, Adobe Analytics, etc.)
- Experience working within the Agile development practices (Jira, etc.)
8. BA in Economics with 5 years of Experience
- Product Management experience working in a cross-functional, agile product team environment/analytic delivery team.
- Experience working with data engineering teams to craft and build products in a fast-paced environment
- Experience with cloud service providers (GCP, AWS, Azure)
- Experience with SQL
- Familiar with Cloud technologies (e.g. Google Cloud Platform, AWS,), reporting tools (e.g. Qlik, Looker)
- Strong verbal and written communication skills
- Experience in translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
- Experience in Automotive, Transportation, Digital Business, or Analytics Consulting
- Experience with Rally or user story management
- Strong understanding of the digital landscape and how to capture and structure user engagement, product performance, and quality of service data for use in downstream analytics or marketing use cases
- Experience using cloud-based solutions for transforming and exploring large quantities of data (Databricks, Snowflake, etc.)
- Experience working in Python and SQL
- Experience with Cloud Computing platforms
9. BS in Statistics with 5 years of Experience
- Experience dealing with data platforms or business intelligence solutions
- Experience working with and understanding logical and physical data models and the trade-offs associated with different modeling approaches
- Experience with JIRA to manage product roadmap and backlog
- Experience working directly with technology teams and business stakeholders as a product manager
- Experience with SAFe, Lean, and Agile software development
- Experience and understanding of modern business intelligence tools, limitations and how this translates into database design requirements
- Experience with data needs at all levels of a modern analytics workflow (querying, blending, exploring, visualizing, storytelling)
- Excellent written and face-to-face communicator
- Collaborative and humble decision-maker
- Good at sorting through ambiguity
- Prior healthcare/pharma experience preferred
10. BA in Operations Management with 7 years of Experience
- Experience in agile product management
- Fluent in the language of data, confident SQL knowledge and analytics tools
- Conversant in basic statistical and machine learning concepts, to collaborate effectively with data scientists and analysts
- Understanding of software development lifecycle and data engineering practices
- Knowledge of data management practices, including master data management, data governance, and data integration
- Applied knowledge of agile product management methodologies, especially as applied to data programs
- Capable of developing a short- and long-range plan for areas of responsibility
- Demonstrated ability to lead complex programs/projects
- Entrepreneurship, driven to capitalize on opportunities and innovate
- Executive communication skills, ability to influence and drive adoption
- Effective at communicating and presenting ideas to management, customers and end users
- Ability to successfully develop, coach, mentor and manage the performance of others
11. BS in Software Engineering with 6 years of Experience
- Experience in statistical techniques, predictive modeling, time series forecasting, text mining.
- Ability to transform information derived from data into actionable insights that directly relate to the organization's key strategic objectives.
- Ability to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency.
- Strong ability to analyze problems, design solutions, and communicate effectively and confidently (both verbal and written) with relevant stakeholders to gain buy-in.
- Knowledge of Agile, and Scrum methodologies.
- Strong interpersonal skills to manage relationships with a variety of partners and stakeholders.
- Experience with Cloud platforms like AWS.
- Knowledge of Data management.
- Knowledge of Technical Communication & Data Visualization.
- Proficient with data manipulation and scripting languages such as SQL and Python
- Familiarity with serialization languages, PySpark, and git
- Proven track record of writing data product requirements and presenting them to seasoned Engineering leads for implementation
12. BA in Project Management with 5 years of Experience
- Understanding of industry drivers, economics, trend analysis
- Responsible for the business management of data assets as a product and the related commercial success
- Ability to own the product roadmap
- Ability to provide product marketing with insights on key differentiators and messages
- Ability to write high-level requirements
- Ability to manage all aspects of the solution life-cycle, including customer feedback, requirements, and issues
- Strong analytical skills e.g. demonstrated by modeling or analytics capabilities
- Proficiency in analytics tools, Tableau, R, etc
- Strategic mindset with a focus on problem-solving
- Excellent interpersonal and communication skills
- Experience in data applications or data analysis.
- Experience in the following industry such as product management, consulting, business analysis, business experiences that are very data-dependent, etc.
- Ability to understand the requirements of enterprise or individual users according to big data, and a passion to drive solutions to problems.