Role Description
Role Proficiency:Contributes to driving the Product Vision that addresses cross-domain market needs with strong business viability; in line with the Product/Platform Portfolio with guidance from Managers. Assists Managers in delivering the desired product and platform outcomes from original inspiration through implementation and support.rnContributes to the discovery and development of the product/platform per the phases and stages of the product/platform. as guided by the Product Managers.
Outcomes
- A strong evangelist of Product & Platforms Division’s Vision and Philosophy.
- Performs primary and secondary research on Market Driven Products & Platforms; executes the product/platform strategy
- Ensures clear and unambiguous translation of Product Value Roadmap through deliverables to enable the product team to complete work
- Ensures adherence to the Product Value Roadmap set by Product Managers and Product Leadership
- Drafts user stories and ensures they are clearly understood by cross functional product teams
- Ensures Product requirements are gathered and prioritized
- Drives the execution of product development in collaboration with Product Team members comprised of Product Design Technology & Data Science
- Adherence to the modern product management practises and standards; providing periodic status updates
- Supports Product Managers and Senior Product Managers in product demos
- Supports in achieving the Product OKR's
Measures Of Outcomes
- Adherence to agreed product roll-out timelines
- Achievement of Product Metrics
- Achievement of Product OKR's
- Product Team Performance
- Number of domain and product certifications
Outputs Expected
Plan to develop great products and platforms:
- Strong research enabling sound Product Discovery
- Co-facilitates Discovery Sprints under guidance from Product and Senior Product Managers
- Write and articulate great user stories by capturing and translating solutions for identified user problems into product features that deliver value and impress users
- Adherence to Product OKR's
Design To Deliver Vast End -user Experience
- Facilitate sound user research across target market segments
- Influence in implementing design user-centric experiences throughout the user's journey
- Assist in defining user experience (e.g. wire framing journey maps); partnering with product designers
Research The Market To Ensure An Unfair Advantage
- Sound understanding of market trends partner ecosystems and competitive strategies
- Understanding users the marketplace the competition and future trends for the domain or type of system being developed through customer and market research competitive analysis and rapidly acquiring domain expertise
- Define and articulate unique product and business differentiation
Manage business to go to and win in the markets:
- Assist in implementing the GTM strategies and achieve the metrics for product success
- Protect assets and mitigate risks employing IP knowledge
Manage Great People
- Inspire Product teams communicate with diverse groups and influence change throughout the organization
Use Great Technology
- Good understanding and usage of tech stacks
- Good understanding of exponential technologies including AI/ML IoT Blockchain
- Agile proficiency for Rapid Product Discovery & Development
- Employ eminent technology in product management by diving deep into technology trends and architectures
Employ Great Methods In Product Management
- Understand different product management and development approaches
- Understand product usage models
Skill Examples
- Skill in understanding and articulating the core positioning messaging and value propositions for the product
- Ability to support product demos to customers/end users
- Ability to define the user experience to be incorporated into the User Design
- Aptitude in creating user stories
- Ability to creates market customer and competition research based on understanding of market trends partner ecosystems and competitive strategies
- Capable of motivating the team to build and deliver impressive products
Knowledge Examples
Knowledge Examples
- Domain / Industry Knowledge: Working knowledge of standard business processes within the relevant industry vertical and customer business domain
- Technology Trends Knowledge: Demonstrates broad knowledge of technology trends related to multiple inter-related technologies
- Proficient in user story writing
- Knowledge of market trends partner ecosystems and competitive strategies
- Proficient in product documentation
- Expertise in people management
- Knowledge of technology trends and architectures
Additional Comments
Role Proficiency: Provide expertise on data analysis techniques using software tools. Under supervision streamline business processes. Outcomes: Design and manage the reporting environment; which include data sources security and metadata. Provide technical expertise on data storage structures data mining and data cleansing. Support the data warehouse in identifying and revising reporting requirements. Support initiatives for data integrity and normalization. Assess tests and implement new or upgraded software. Assist with strategic decisions on new systems. Generate reports from single or multiple systems. Troubleshoot the reporting database environment and associated reports. Identify and recommend new ways to streamline business processes Illustrate data graphically and translate complex findings into written text. Locate results to help clients make better decisions. Solicit feedback from clients and build solutions based on feedback. Train end users on new reports and dashboards. Set FAST goals and provide feedback on FAST goals of repartees Measures of Outcomes: Quality - number of review comments on codes written Data consistency and data quality. Number of medium to large custom application data models designed and implemented Illustrates data graphically; translates complex findings into written text. Number of results located to help clients make informed decisions. Number of business processes changed due to vital analysis. Number of Business Intelligent Dashboards developed Number of productivity standards defined for project Number of mandatory trainings completed Outputs Expected: Determine Specific Data needs: Work with departmental managers to outline the specific data needs for each business method analysis project Critical business insights: Mines the business’s database in search of critical business insights; communicates findings to relevant departments. Code: Creates efficient and reusable SQL code meant for the improvement manipulation and analysis of data. Creates efficient and reusable code. Follows coding best practices. Create/Validate Data Models: Builds statistical models; diagnoses validates and improves the performance of these models over time. Predictive analytics: Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive analytics: Attempts to identify what business action to take Code Versioning: Organize and manage the changes and revisions to code. Use a version control tool for example git bitbucket. etc. Create Reports: Create reports depicting the trends and behaviours from analyzed data Document: Create documentation for worked performed. Additionally perform peer reviews of documentation of others' work Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Status Reporting: Report status of tasks assigned Comply with project related reporting standards and processes Skill Examples: Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking: Data Analysts must review numbers trends and data to come up with original conclusions based on the findings. Presentation Skills - facilitates reports and oral presentations to senior colleagues Strong meeting facilitation skills as well as presentation skills. Attention to Detail: Vigilant in the analysis to determine accurate conclusions. Mathematical Skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Knowledge Examples: Knowledge Examples Database languages such as SQL Programming language such as R or Python Analytical tools and languages such as SAS & Mahout. Proficiency in MATLAB. Data visualization software such as Tableau or Qlik. Proficient in mathematics and calculations. Efficiently with spreadsheet tools such as Microsoft Excel or Google Sheets DBMS Operating Systems and software platforms Knowledge regarding customer domain and sub domain where problem is solved
Skills
Product Management,Product Design,Production Planning
