Data Science Manager manages teams tasked with identifying trends, patterns, and anomalies found in big data sets and used to develop insights by performing extensive data analysis. Oversees the interpretation of results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Being a Data Science Manager manages the design and implementation of big data solutions for the organization. Uses extensive knowledge and research into big data tools to guide data scientists' adoption and use of new and existing tools. Additionally, Data Science Manager typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to senior management. The Data Science Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Data Science Manager typically requires 5 years experience in the related area as an individual contributor. 1 - 3 years supervisory experience may be required. Extensive knowledge of the function and department processes. (Copyright 2024 Salary.com)
Job Description:
Manage a portion of a major engineering program or a small technical program to assure that cost, schedules and performance goals are met. Assist in managing the reporting/dashboards developments used by the programs.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
1. Interact and coordinate with Business Program management and Contracts Administration on issues pertaining to requirements, changes, interpretations, and financial conditions of the contract.
2. Accountable for all schedules, control accounts, financial reporting, quality, and customer satisfaction on project(s).
3. Develop and maintain tools, reporting/dashboards to provide portfolio visibility to key stakeholders and drive accountable business results.
4. Automate portfolio data collection and presentation where possible.
5. Develop and implement corrective action plans when deviations from budgets and/or schedules are evident.
6. Assign and manage internal, external, multi-divisional, direct and matrixed resources to ensure all project objectives and goals are met.
7. Develop, prepare and present briefings to both executive management and the customer related to program status, direction and performance.
8. Formally identify, assess, monitor and mitigate risk throughout project life cycle.
9. Provide leadership to cross functional team. Assure communication and cooperation among team members and resolve areas of conflict.
10. Assure communication and cooperation among program and project team members and resolve areas of conflict.
11. Other duties as assigned.
BASIC QUALIFICATIONS:
· Bachelor’s degree or equivalent experience in engineering, business, finance, operations management, data science or other related field
· 6 plus years of relevant experience
· PMP certification
PREFERRED QUALIFICATIONS:
· Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
· Knowledge of and experience with data visualization and reporting packages (Power BI, etc.), database (SQL, etc.), and programming (Python, JavaScript, ETL tools, etc.).
· Knowledge of and experience with advanced Microsoft Excel tools including macros, VBA, and Power Query.
· Proficient skills in Microsoft Office Suite: Word, Excel (Intermediate to Advanced), PowerPoint, SharePoint, etc.
· Skilled with MS Excel – pivot tables, graphs, macros, VBA
· Skilled in Microsoft Power BI, data analytics, BI (Business Intelligence) reporting
· Engineering project management and contract management
· Experience with project portfolio management.
· Working knowledge of Primavera P6 or Microsoft Project or equivalent with at least 6 years of experience
· Ability to develop training material and experience training others
· Independent judgment and decision-making ability
· Strong verbal presentation and written communication skills
· Excellent time management and organizational skills
· Ability to influence others
· CMMI or TS16949 Certification experience, Systems Engineering.
· Basic knowledge of defense government contracts to include CLIN, FAR, DFAR etc
· Basic knowledge of Defense Acquisitions process, decision milestones and funding procedures