PARADISE

VALLEY, Arizona Posted in about 10 hours ago.

Type:

full-time

Job Description:

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today's complex challenges and tomorrow's opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.

Job Title:

Senior Project Manager -

Analytics Location:

Phoenix, AZ Overview:

Location Type:

On-site (5 days onsite)

Contract Duration:

Thru EOY Under minimal supervision, manage Data and Analytics projects including analytics services, data strategy, business intelligence and insights, machine learning/AI, data sciences, predictive modeling, forecasts, other statistical analyses, enterprise dashboards, and other strategic projects.

Responsibilities:

Responsible for the overall direction, coordination, execution, and implementation of Analytics projects to ensure that project goals are accomplished within the specified time frame and funding parameters. Utilize a project management practice which supports frequent adaptation, inspection, self-organization, and a set of engineering practices that provide quick delivery of high-quality software needs. Deliver within a framework that supports the key characteristics of an analytical project, such as the need to do exploratory analysis. Have a deep understanding of Analytics to drive clarity from ambiguity and the capability to drive consensus across leaders and concerted progress across multiple teams. Prepare and manage project related management plans in support of obtaining business benefits (includes program/project planning, schedule development, and scope management). Ensures flexibility and adaptability with project management methodology based on the project requirements (CRISP- DM, Agile, hybrid: including the lifecycle of data science/artificial intelligence/machine learning: training, experimentation, deployment, inference) lifecycle of

Data Engineering:

consuming data, data transformations and analytics). Serve as a scrum master to work across data science and data analytics to facilitate planning and retrospectives, update stories, and keep data science informed. Have a conceptual knowledge of analytics tools, data science methodologies, and their application in solving complex business problems. Ability and initiative to learn and research new concepts, ideas, and technologies quickly. Employ strong problem-solving, and process development abilities. Strong communication, interpersonal, emotional intelligence, and presentation skills. Ability to quickly build collaborative relationships with project stakeholders and project team members. Ensure project results are clearly articulated within scope and delivered business benefits are of the highest caliber. Perform resource capacity analysis and resource plan management in partnership with department leadership. Define and track project milestones while developing, maintaining and reporting on an overall integrated delivery plan. Serve as subject matter expert in briefing stakeholders in aspects of project progress related to work completion, scope, cost and quality; Represents the project in various project governance and inter-department forums. Facilitate the procurement and sourcing process by defining deliverables, managing procurement team tasks, and ensuring negotiation activities are tracked and documented. Validate financial forecasts and provide on-going reconciliation of resources and other related project expenditures. Publishes scheduled project status reports. The position will report to the PMO but will take direction from Leadership within the Analytics and Strategic Business Services segment.

Qualifications:

This position requires at least 8 years of project management experience in managing and delivering analytics projects, with personal accountability for delivering to time and cost for complex projects Within those eight years, preference to have a minimum of 5 years' experience managing projects that include the following specializations Languages, including Python, R, SQL, and Tableau; Data Analysis; Data Mining; Statistics; Data Visualization; Data Reports; Data Modeling; and Database Systems. Have an understanding of and experience managing projects using cloud solutions (AWS) Experience using

CRISP-DM

methodology, which supports Analytics best practices and supports project replication, Agile and hybrid project management methodologies. Have sound business and technical acumen. Project Managers must understand the fundamental concepts of analytics technical environments Preference to those with a retail background and a proven ability to inspire teamwork, earn trust, facilitate collaboration and remove barriers to ensure project delivery.

Proficient in MS Office suite:

Excel, PowerPoint, Project, Visio; understanding of analytical tool stack, Jira, Point, bitbucket, and Clarity is a plus

Educational Requirements:

This position requires a Bachelors Degree in Analytics, Computer Science, Information Systems or related, or equivalent experience (10+ years). Master Level degree is highly preferred. PMP Certification, Prince2, Scrum / Agile, SAFe project management certification or equivalent Project Management certification required. Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. 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