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JOB TITLE

CFO NORTHEAST AUTOMOTIVE GROUP

About the Company :
A highly profitable automotive group in the North East .

The company currently has over 12 retail outlets and does over $1B in revenue

About the Position:

Hiring for a personal & professional Chief Financial Officer (CFO) for a long-term position to grow with the group. This position can function in New York or New England.  Travel in this geography will be required.

The Chief Financial Officer will be a high-performing member of the Executive Leadership Team and will have a strategic role in the overall management of the company. The CFO will have primary day to day responsibility for planning, implementing, managing and controlling all financial-related activities of the company. This will include direct responsibility for finance

Requirements:

  1. MUST HAVE HAD EXPERIENCE IN THE AUTOMOTIVE MARKET
  2. MUST BE A CPA
  3. Applicants must have an extensive background in finance.
  4. This executive will have 15 or more years of experience in a senior financial management position, and will possess deep expertise in strategic business management and oversight of broad business practice.
  5. Experience as the Chief Financial Officer, Chief Administrative Officer, Chief Business Officer, or equivalent executive position.
  6. Must be proficient with GAAP.
  7. CPA license is NECESSARY
JOB TITLE

Cloud Security Architect – Subject Matter Expert-Virginia

The Sponsor has requirement to staff a software development project involving the processing and dissemination of sensitive data and the eventual implementation of those data management services on a shared Cloud computing environment. The Project is looking for a System Architect to support the current and future implementation of sponsor data ingestion and transformation environments. Responsibilities include analysis of incoming data collections, analysis of current system architecture, metadata mapping, the design of data transformation routines, repository design, performance testing, roadmap development, and technology evaluation. Domain knowledge of sponsor’s and sponsor’s partner’s data standards is highly desirable. The selected System Architect will provide technical direction that helps design, develop, and maintain an enterprise application capable of supporting a very diverse enterprise customer-base. The architect will work with developers to design a robust, dynamic user interface utilizing search engines and data dissemination capabilities. The candidate must have the ability to work in a mixed technical environment and have the desire to design and develop software in an agile fashion.

Location: McLean
Clearance Required: Top Secret, with Secret Compartmented Information (TS SCI)
CONUS Travel: Yes, but just in the WMA area.
OCONUS Travel: N
Regular Hours Per Year: 1860.0
Night Work: N
Pager Duty: N
Work on Holidays: N
Work on Weekends: N
Shift Work: N WarZone: N

Mandatory Skills :

  1. Demonstrated experience using analytic methods and methodological tools.
  2. Demonstrated experience identifying and leveraging algorithmic models and manipulating structured and unstructured data to answer intelligence questions.
  3. Demonstrated experience translating complex, technical findings into an easily understood narrative (i.e., tell a story with the data) in graphical, verbal, and/or written forms.
  4. Demonstrated experience using programming languages such as Python, R, or Javascript to develop, test, and deploy algorithms in an analytic production environment.

Desired, but Optional Skills:

  1. Demonstrated experience working collaboratively and effectively in a team environment on multi-disciplinary challenges (collection, ETL, database, infrastructure, application).
  2. Demonstrated experience creating and automating analyses and reports.
  3. Demonstrated experience building or modifying data sets to enhance exploratory analysis.
  4. Demonstrated experience supporting operational and strategic requirements against hard target missions.
  5. Demonstrated experience with collection methods, capabilities, and tasking processes.
JOB TITLE

Data Scientist -Senior

The customer requires a Data Scientist to support analytic innovation within the customers environments and enable the customer to transition methodologies for data analysis into production analytic processes. Data scientists combine applied mathematics, programming skills, analytical techniques, and data to provide unique insights for decision makers. Each individual typically only has depth in one of these areas, so effective data science efforts require teaming of complementary skill sets. Skill sets include: – Applied mathematics (e.g., probability and statistics, data modeling, computational social sciences) – Computer programming (e.g., programming languages, math/statistics packages, computer science, machine learning, scientific computing) – Social Networking and Linguistics (e.g. natural language processing, social network analysis, entity resolution, human language technology).

Mandatory Skills :

  1. Demonstrated experience using analytic methods and methodological tools.
  2. Demonstrated experience identifying and leveraging algorithmic models and manipulating structured and unstructured data to answer intelligence questions.
  3. Demonstrated experience translating complex, technical findings into an easily understood narrative (i.e., tell a story with the data) in graphical, verbal, and/or written forms.
  4. Demonstrated experience using programming languages such as Python, R, or Javascript to develop, test, and deploy algorithms in an analytic production environment.

Desired, but Optional Skills:

  1. Demonstrated experience working collaboratively and effectively in a team environment on multi-disciplinary challenges (collection, ETL, database, infrastructure, application).
  2. Demonstrated experience creating and automating analyses and reports.
  3. Demonstrated experience building or modifying data sets to enhance exploratory analysis.
  4. Demonstrated experience supporting operational and strategic requirements against hard target missions.
  5. Demonstrated experience with collection methods, capabilities, and tasking processes.
JOB TITLE

Sales Executive- SLED-CAROLINA’S

Our Client is an innovative security-as-a-service vendor that delivers data protection solutions that help medium- and large-sized organizations protect their data from attack and enable them to effectively meet the complex and evolving regulatory compliance and data governance mandates that have been spawned from highly publicized data breaches.

Positioned by Gartner in the Leaders Quadrant in its 2014 Magic Quadrant, delivers an integrated suite of on-demand data protection solutions spanning threat management, regulatory compliance, data governance and secure communications—all of which are based on a common security-as-a-service platform.

Simply put, their solutions help organizations to:

  • Keep malicious content out of their environments
  • Prevent the theft or inadvertent loss of sensitive information
  • Collect, securely retain, govern and discover sensitive data for compliance and litigation support
  • Securely communicate and collaborate on sensitive data with customers, partners and suppliers see less

Specialties:

email security, cloud-based email and file archiving, email encryption, data loss prevention, information governance, protection from targeted attacks, Security-as-a-Service, SaaS

Our Client is seeking a self-starting highly motivated sales professional to join Their successful and growing Named Accounts – SLED organization. This team helps State, Local Government and Educational organizations throughout the United States and the world protect their most sensitive data. Our new team member will have a proven track record of meeting and exceeding sales goals, and will have extensive experience as a trusted advisor to CISOs, CIOs and other C-level executives. This role will target accounts in a region based in either, CAROLINA’S. The SALES EXECUTIVE SLED will team up with Their world class Sales Engineering Organization and Their channels team to introduce Their Client’s Solutions to new customers, as well as to expand their presence with companies who are already part of Their existing customer base.

COMPENSATION:

Base Plus Incentive Compensation Plus Accelerators Plus Options Plus Full Benefits 

Your day-to-day :

  • Have the ability to establish strong business relationships at the executive level, advanced solution selling capabilities, conducting sales presentations, coordinating multiple resources within an account, while consistently and successfully closing business.
  • Strive to both penetrate net new accounts as well as to expand their presence with existing customers by introducing them to the rest of their security portfolio.
  • Partner with the channel organization in order to secure new share of the security market.
  • Team up with their Sales/Systems Engineering team to prepare account strategies and plans, and to deliver outstanding product demos and proof of concept programs to prospects and customers.

What you bring to the team :

  • We are looking for an enterprise sales professional with a minimum of 3 years of experience in a field sales role selling to large the State, local and Higher Education markets.
  • Ideally we would like to see experience selling Enterprise Security or Information Technology products, but if you’re a “rockstar” from a different industry, we still want to talk to you!
  • Must have a proven and demonstrable track record of exceeding sales goals
  • Must be a self-starter with the ability to work independently or in a team environment.
  • Ability to manage multiple tasks and use good judgment in resolving difficult issues.
  • Experience with SalesForce or similar CRM tools strongly preferred
  • BA/BS or equivalent preferred.
JOB TITLE

Sales Executive- SLED-Maryland

Our Client is an innovative security-as-a-service vendor that delivers data protection solutions that help medium- and large-sized organizations protect their data from attack and enable them to effectively meet the complex and evolving regulatory compliance and data governance mandates that have been spawned from highly publicized data breaches.

Positioned by Gartner in the Leaders Quadrant in its 2014 Magic Quadrant, delivers an integrated suite of on-demand data protection solutions spanning threat management, regulatory compliance, data governance and secure communications—all of which are based on a common security-as-a-service platform.

Your day-to-day :

  • Have the ability to establish strong business relationships at the executive level, advanced solution selling capabilities, conducting sales presentations, coordinating multiple resources within an account, while consistently and successfully closing business.
  • Strive to both penetrate net new accounts as well as to expand their presence with existing customers by introducing them to the rest of their security portfolio.
  • Partner with the channel organization in order to secure new share of the security market.
  • Team up with their Sales/Systems Engineering team to prepare account strategies and plans, and to deliver outstanding product demos and proof of concept programs to prospects and customers.

What you bring to the team :

  • We are looking for an enterprise sales professional with a minimum of 3 years of experience in a field sales role selling to large the State, local and Higher Education markets.
  • Ideally we would like to see experience selling Enterprise Security or Information Technology products, but if you’re a “rockstar” from a different industry, we still want to talk to you!
  • Must have a proven and demonstrable track record of exceeding sales goals
  • Must be a self-starter with the ability to work independently or in a team environment.
  • Ability to manage multiple tasks and use good judgment in resolving difficult issues.
  • Experience with SalesForce or similar CRM tools strongly preferred
  • BA/BS or equivalent preferred.
JOB TITLE

Data Architect – Subject Matter Expert

This is a challenging position for a mid- to senior-level, data-savvy professional on a new and exciting project, which has the real potential to be a game-changer in the Sponsors tool box of expert analytic systems. This position is for a well-rounded data expert (including data architect, data scientist, data engineer, data analyst) who can enhance mission value by helping the team and customer exploit existing Artificial Intelligence / Machine Learning (AI/ML) prototypes by transforming them into production-ready algorithms in a new enterprise AI/ML platform, which will be architected and recommended by the team at large. This is a hands-on position that requires a self-motivated person who can work in both an unsupervised mode and team mode, as well as in all aspects of data processing and analysis, including extraction, transformation, and load (ETL). This person would be expected to work collaboratively with the mission customer, analysts, managers, and IT professionals to derive valuable insights from data of all types (structured, unstructured, and semi-structured, but mainly unstructured). This person would be expected to master the project’s suite of tools to solve complex data problems by identifying patterns, anomalies, and regularities in the data or by applying advanced research skills beyond what the traditional analyst would be expected to use. Being a key data expert, this person would be expected to participate in a wide variety of internal and external fora to advance the analytic tradecraft, improve the capabilities of the project tools, and stay current on the latest trends involving data, such as XML schema changes. This person would also be expected to become a knowledge engineer and be capable of developing the requisite ontologies, taxonomies, data specifications, and/or common metadata standards for the project tools and for effective data exchanges with partner systems. This person could be tasked to prepare and deliver both technical and high-level briefings on data-related matters that are relevant to the customer’s overall AI/ML strategy. including briefings with proposed changes to optimize project use of the data. This person is expected to possess and deliver exceptionally strong technical and ETL skills, because the data-related functions are central to the project’s overall success. The ETL tasks could require basic programming skills, because the data sets will need to be cleansed, segmented, normalized, reassembled, and exploited using a variety of extraction and visualization tools. This person could also be expected to participate in the evaluation of new tools for the project, and those tools could range in type from extraction tools to highly sophisticated advanced analytic tools. This person would be expected to possess a natural desire to keep abreast of the latest tools (open source, Sponsor’s Proprietary (Equipment, Software), and COTS) for data science/data architecture so that he/she could work effectively with other incubating technologies and help the project identify better capabilities. The project is a joint, R&D effort between the Sponsor groups to develop a prototype mass analytic system that will enable users to have sophisticated interactions with large volumes of disparate data, either by presenting the data visually or by asking questions more complex than a Boolean query would allow. The program will feature an immense, spreadsheet-like analytic fabric of building blocks that will make it easier to integrate with and exploit data from multiple capabilities, such as knowledge bases, natural language processing (NLP) stacks, latent semantic indexing, and visualization tools.

Location: McLean
Clearance Required: Top Secret, with Secret Compartmented Information (TS SCI)
CONUS Travel: Yes, but just in the WMA area.
OCONUS Travel: N
Regular Hours Per Year: 1860.0
Night Work: N
Pager Duty: N
Work on Holidays: N
Work on Weekends: N
Shift Work: N
WarZone: N

Mandatory Skills

  1. Holds a Bachelor’s degree or equivalent in computer science, data science, data architecture, data analysis, or related field of study.
  2. Minimum of two years of demonstrated experience as a data expert (data analyst, data scientist, data architect) with Sponsor or Sponsor’s partners.
  3. Demonstrated experience of developing analysis and advanced research products by incorporating varying data elements and by building on techniques and theories from many fields, including signal processing, mathematics, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, uncertainty modeling, data warehousing, and high performance computing.
  4. Demonstrated experience creating a data model that effectively integrates mission needs with underlying data structures.
  5. Demonstrated experience interpreting rich data sources, merge data sources together, ensure consistency of data-sets, create visualizations to aid in understanding data, present and communicate the data insights/findings to specialists and scientists in their team and if required to a naive audience.
  6. Demonstrated experience collaborating with non-technical audiences and/or analysts to extract meaning from data and to create data products.
  7. Demonstrated experience showing, problem-solving skills, flexibility, technical acumen, resourcefulness.

Desired, but Optional Skills:

  1. Holds a Master’s degree or Ph.D in data science, data architecture, data analysis, or related field of study.
  2. Demonstrated experience with designing, testing and deploying dashboards and/or other user interface (U/I) features for data scientists or analysts with this Sponsor or Sponsor’s partners.
  3. Demonstrated experience with developing a complete data taxonomy, ontology, or metadata standard from scratch as well as merging two data specifications from differing projects.
  4. Demonstrated experience with Sponsor’s or Sponsor’s partners data architecture constructs, including metadata standards, PUBS-XML, NewsML, or comparable XML formats.
  5. Demonstrated experience with 1010data Appliance, entity extraction tools (e.g. Aerotext), and/or Digital Reasoning Synthesis (DRS), or other similar advanced computing systems, such as those involving natural language processing or advanced analytics.
  6. Demonstrated ability of using data science techniques to conduct research across various domains, including the political science, economics, social sciences and the humanities.
  7. Demonstrated and recognized expertise in the field of data science, such as by authoring papers on data science, speaking at conventions, or leading other initiatives in data science, machine learning, or related fields.
  8. Demonstrated experience of working with conventional tools for Big Data and Data Science, such as Big Data manipulation tools (e.g. Hadoop, Pig, Hive, Python) or statistical analysis tools (e.g. SAS, SPSS, R), or data warehouse and loading tools (e.g. Teradata, Informatica).