DATA DELIVERY SCRUM MASTER

Data Delivery Scrum Master Description - In HP we are solving some of the most interesting possibilities around discovering, experimenting, increasing, sustaining, and stabilising the ROI on data investments using agile and lean and quality based frameworks.
This is an interesting role for a data solutions centric agile delivery manager who can show keen interest in data solutions and working together with clients and team to evolve and mature the capabilities of the engineering, data architecture, quality, and operations team to align with business values and ROI.
The role has fantastic career path to evolve towards product management, data operations delivery and optimisations, or enterprise data architecture in one the largest GTM based analytics and data science team within HP where we tackle some of the most challenging, innovative, and complex data solutions aligned to value.
Job Responsibilities.
Facilitate all Scrum ceremonies, including daily stand-ups, sprint planning, sprint reviews, and retrospectives, ensuring adherence to Agile principles and practices; Works with cross-functional teams to facilitate the data collection and performance measurement process and escalates issues as necessary; Makes contributions to research and analyses on priority projects within established guidelines; Build user journeys, product journeys, and engineering journeys and tasks; Work closely with product owners, stakeholders, and development teams to prioritize and refine the product backlog, ensuring clear communication and understanding of project goals and requirements; Proactively identify and address potential impediments or conflicts that may impact team productivity, and take necessary actions to resolve them; Track and communicate team progress, metrics, and key performance indicators to stakeholders and senior management, ensuring transparency and accountability; Stay up-to-date with the latest trends and advancements in Agile methodologies, and drive the adoption of new tools and practices to enhance team efficiency and productivity; Additional responsibilities that you could develop or be interested in.
Defines the metrics required to measure business performance, and compares actual data to forecasted values; Executes research projects, gathers intelligence on current industry, technology, and consumer trends, and summarizes research findings tailored to business needs; Conducts and summarizes complex data and business analyses to develop business plans, including revenue and demand projections, workforce optimization, and channel management; Job Requirements.
Typically 6+ years' experience in Strategy, Planning, Operations, Finance or related functional area; University degree in Data Science, Engineering, Economics, Statistics or relevant; In-depth understanding of Agile principles and frameworks (Scrum, Kanban, etc.).; Strong foundations in understanding difference between software and data based agile solutions and real life differences between theory of agile in data domain and its practices; Ability to learn or have knowledge and experience of driving user journeys aligned to product journeys aligned to engineering deliverables Strong facilitation, coaching, and conflict resolution skills, with the ability to guide teams towards consensus and effective decision-making; Excellent communication and interpersonal skills, with the ability to effectively interact with stakeholders and team members; Experience working with distributed teams and managing remote collaboration; Solid understanding of data delivery life cycle and related processes; Familiarity with Agile project management tools and software (e.
., JIRA, MIRO + Excel); Strong analytical thinking, and ability to build deliverables roadmap aligned to user journeys and product journeys; Developing project management skills, product management, and delivery of data solutions.
Entity Sales and Services #LI-POST Job - Business Planning Schedule - Full time Shift - No shift premium (Mexico) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc.
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