Data Analytics Manager
USA, DC, Washington (901 15th St NW), United States
Full Time Mid-level / Intermediate Clearance required USD 96K - 220K
Booz Allen Hamilton
Using tomorrow’s technologies, Booz Allen advances the nation’s most critical civil, defense, and national security missions.Key Role:
Assist in the analysis and maintenance of plans, policies, and processes for data management, data governance, security, quality, accessibility, use, and disposal. Drive initiatives related to Army Digital Transformation, Data Modernization, Analytics, including using AI and ML, and Program Oversight by capturing client requirements, designing and implementing robust solutions, and crafting strategies, white papers, and proposals to help clients drive their Army Data Management and Analytics efforts. Capture and document business requirements, formulate data collection plans, implement normalization processes, identify key performance metrics, develop queries to extract accurate and timely business information from existing data environments, and generate data visualizations to highlight patterns or trends in complex datasets. Provide strategic support to ensure that our solutions adhere to best practices and effectively address client needs related to data, analytics, and oversight for program success. Display a solid understanding of data platforms and enterprise analytics, to spearhead comprehensive data integration and optimization to transform the Army into a data centric organization. Apply your strategic understanding and experience of Army domains, including business, warfighting and enterprise, Army stakeholders, and the HDQA initiatives to spearhead new and modernized Army data solutions.
Basic Qualifications:
10+ years of experience in data strategy, including enterprise solutions for data management, governance, analytics and developing AI and ML models
7+ years of experience in engaging with clients to comprehend their business requirements, technical needs, and preferred program and project management
5+ years of experience in pre-sales with capture management and proposal writing and bid response
Experience in leadership with process improvement methods and high-performance team coaching
Knowledge of data platforms, data governance, data management, analytics, and AI
Ability to design data solutions using a variety of cloud and hybrid technology to meet client requirements, deliver innovation and technical modernization, and reduce technical debt
Ability to envision and lead teams to prototype and demonstrate the feasibility and value of proposed solutions
Ability to lead development teams with agile methodologies and manage time and resource constraints
Secret clearance
Bachelor's degree in a Data, Analytics, AI, Machine Learning, Technology, or Engineering
Additional Qualifications:
Experience with federal government regulations, compliance, and system authorization
Experience with Army HDQA client relationships, coordinating with market leaders to connect firm capabilities, and helping build business and solutions based on Army’s strategic initiatives
Knowledge of Army Data programs and capabilities
Ability to think strategically about business, product, and technical challenges
Ability to manage ambiguity, resulting in clarity of vision
Ability to mentor team members on delivery teams about best practices in data architecture and governance
Possession of excellent written and verbal communication skills to articulate complex technical concepts to non-technical stakeholders
Possession of excellent problem-solving, critical-thinking, and analytical skills
Master's degree
PMP Certification
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Tags: Agile Architecture Data Analytics Data governance Data management Data strategy Engineering Machine Learning ML models Security
Perks/benefits: Career development Health care
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