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Posted: Monday, March 13, 2017 2:50 PM

Data Scientist - Senior Manager Location: Virtual anywhere in US or Canada with 50% Travel Apply online and send resume to [Click Here to Email Your Resume] Unisys is a global management consulting and information technology company. We work with the world's leading companies and government organizations to solve their most business and technology challenges. We specialize in providing integrated, leading-edge solutions government, financial services and commercial markets. Our offerings include cloud and infrastructure services, application development, security solutions and high-end server technology. Unisys brings more than 20,000 associates serving clients around the world. Position Overview Within Unisys Enterprise Services, a Senior Manager in the Analytics Services practice leads multiple client engagements or a single large engagement. Senior Managers lead defining methodology, then guide Managers who implement execution at client sites and remotely. Senior Managers build relationships with clients' leadership including at the VP/SVP level, or C-level for mid-sized clients. Senior Managers apply a significant proportion of their time to winning new client relationships, which is one of the primary indicators of readiness to progress to Practice Director. Senior Managers understand the full range of Unisys offerings and actively build cross-functional teams to solve clients' needs. A Senior Manager in Analytics Services brings broad understanding across quantitative techniques, business domain understanding, and analytic software and data center infrastructure while providing clients distinct depth in a particular business domain (eg consumer insight), quantitative technique (eg deep learning). Senior Managers actively contribute to synthesizing new and distinct Unisys points of view including articles, posts, demos, marketing collateral, and speaking engagements. Senior Managers actively contribute to coaching and development of Managers, Senior Consultants, and Consultants on their client engagements and practice area. Responsibilities : Take responsibility for delivering a client project including business impact, dates, and budget. Establish and maintain clear communication channels with the between the consulting staff, account teams and clients. Actively manage and mitigate implementation risk. Develop an intuitive sense of how to deliver complex, multi-stakeholder projects in highly regulated industries. Navigate client organizations to ensure support, transparency, and results. Hands-on leadership creating Analytics deliverables including implementing data integration and quality, selecting and configuring algorithms, translating models into code, quality assurance, and guiding business implementation of model results, application, or business processes. Understand practice level financial performance and take responsibility for profitability of multiple engagements, a specialized practice area, or geographic region. Actively seek to position Unisys for follow-on engagements and continued, deepened client relationships. Cultivate relationships across the full spectrum of Unisys and Enterprise Services capabilities and offerings, and proactively build partnership and joint client teams. Generate new ideas and lead development of thought leadership offering a Unisys point of view on key industry and technical topics. Ensure client teams that they manage develop high quality and resuable IP and sales materials which are available in appropriate repositories. Assist in the recruitment, development, and mentoring of new associates in the Analytics practice. Maintain appropriate senior-level professional certifications such as CPA, CFA, CISSP, or similar. Skills, Experience & Qualifications At least 5-8 years as an individual contributor and then project or engagement leader. Strong understanding of the Analytics Services business context and market trends, as well as how to communicate these offerings to clients - all levels of the organization from developers to ITDMs: Significant experience delivering analytics and/or business intelligence projects Prefer hands-on experience with ETL, database management, BI dashboards, or application development. Data warehouse strategy implementation experience Data governance and master data management practices Machine learning and predictive analytics algorithm understanding implementing using analytics tools such as Hadoop, Hive, Spark, Kafka Cloud based Analytics design & delivery including- IaaS, PaaS, and SaaS Digital engagement solutions - mobile, social and web channel integration Experience with visualization tools such as Tableau, Zoomdata, PowerBI, Qlik, etc. Significant experience in Analytics Consulting, BI/ Visualization Governance & Strategy, Information Management Roadmap, Data Platforming, Alliance & eco-system management, Large scale Program Governance Experienced Program or Project leadership skills leading technical teams with large implementation projects Technical Strength around but not limited to Information Strategy, Data Governance & Architecture, Big Data & Analytics, Information Lifecycle Management, Business intelligence, and Performance Management Understanding of Agile Custom Analytics modeling and support across multiple industries. Broad experience in data modeling and implementation projects utilizing a global delivery model. Strong Leadership and change management skills Experience working with Sales and Pre-Sales Solution Architecture teams Bachelor's degree in Computer Science or advanced degree in related discipline Master's degree or MBA from a competitive school preferred. The Analytics practice systematically targets specific domain expertise and geographic locations. The practice seeks people with experience from leading organizations in travel, transportation, and logistics; life sciences and health care; public sector including military, intelligence community, and law enforcement; retail; banking, insurance, and wealth management. We actively develop expertise in Spark, AWS, Azure and open source machine learning packages. Geographically, the practice is building capabilities globally with US priorities including Chicago, Boston, St. Louis, California (with a focus on practice development), New York/New Jersey, South Florida, and Dallas/Houston/Austin. Do you have what it takes to be mission-critical? Apply Now. Unisys offers a very competitive benefits package including health insurance coverage from first day of employment, a 401k with an immediately vested company match, vacation and educational benefits. Unisys is an Equal Opportunity Employer (EEO). Minorities, Females, Disabled Persons, and Veterans.


• Location: Los Angeles

• Post ID: 104850548 losangeles is an interactive computer service that enables access by multiple users and should not be treated as the publisher or speaker of any information provided by another information content provider. © 2017