Position: Intelligence Analyst

Description

Our Intelligence Analysts drive the transformation of big, messy data into actionable intelligence for our clients. They use a combination of proprietary data systems and data analysis tools to interpret results from sensitive data sets using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining techniques. Spanning fields as diverse as intelligence, oil and gas, and international finance, our Intelligence Analysts engage senior business leaders and worldwide industry leaders to identify outliers, risk indicators, and emergent trends. Intelligence Analysts are responsible for aspects of overall project management deliverables to include innovative solutions, value management, cost effectiveness, and functional efficiency.

Duties and Responsibilities

• In a team environment, determine business requirements and translate those requirements into an amenable data-driven solution.
• Conduct ad-hoc and structured analysis of quantitative and qualitative data.
• Capture key insights from analysis in clear and concise written reports.
• Research, write, and publish reports to provide contextual awareness and communicate risks to management.
• Identify assumptions, limitations, constraints, and key metrics of success to business problems.
• Monitor trends in operational and client-data to recommended program, process, and operational improvements.
• Effectively communicate key findings and as needed, key performance indicators to clients and internal management.

Qualifications

• Undergraduate or higher degree desired. Preference for interdisciplinary fields of study, particularly national security or intelligence, international relations, economics, international business, or international finance, as well as preference for technical fields in applied data science or computer science.
• Meaningful internship work and/or relevant professional experience preferred.
• Impeccable analytical skills; good interpersonal skills.
• Experience with data analysis tools and programming languages such as Microsoft Excel, Strata, Tableau, SQL, R, Python, and Java is preferred.

• Linguistic expertise in Chinese, Arabic, Russian, Farsi, or other languages preferred.
• Exposure to data mining/machine learning and computer science desired.
• Exposure to data mining/machine learning, computer science, and text analytics is desired.

Key Competencies

• Impeccable analytical skills, both quantitative and qualitative.
• Excellent writer.
• Global, interdisciplinary perspective.
• Entrepreneurial spirit.
• Passionate problem-solver, collaborative and individual.
• Acts as a team player.
• Subject-matter expertise in a line of business, preferably in national security.


Position: Sales Manager

What we do: Luminas is a predictive risk mitigation organization.

Location:  Headquartered in Tampa, Florida.

Established: 2015

Culture: Lumina provides our team with an exceptional family-oriented culture with a great quality of life.

Ares of practice: Reputational risk, Physical and Infrastructure risk, Compliance and regulatory risk, Litigation risk, and custom risk ecosystems.

Technology: We have a proprietary purpose-built technology that senses risk 24/7. The competency is our ability to collect significant amounts of publicly available data combined with algorithms to produce an artificially intelligent non- bias output.

We can sense patterns of behavior that are statistical outliers. These behavioral patterns can be customized to accommodate a multitude of risk scenarios.

This technology has enabled us to proactively mitigate an early stage school shooting, identify a disturbing pattern of behavior 3 days prior to a violent event and provide a meaningful forensic analysis of that event, divert a catastrophic investment for a large financial services firm, and avoid a national reputational issue for a large defense contractor.

Lumina has issued over 40 predictive risk mitigation intelligence reports to law enforcement and corporate clients over the last 15 months.

Methods

• This data is pooled and owned by Lumina.
• Using our data we are able choose which variables (for example 62 that are statistically valid) to model intent of an individual.
• The output of that data is then given to our analyst team who further analyze to ensure the outcome has been sanitized and vetted. We do not pass along false positives. An example: Lumina executed a risk sensing pilot in the sports and entertainment space in which Lumina was able to match over 80 million points of data with a result of two positive threat matches.

Strategic Goals

Leadership

• This data is pooled and owned by Lumina.
• Achieve 10 Million in revenue by year end 2018.
• Develop a disciplined pricing model.
• Cost of sale analysis ongoing.
• New market penetration.
• Acquire 5 fortune 100 national logos as Lumina clients.
• Complete build out marketing platform.
• Retain 100% of talent.

Technology Goals

• This data is pooled and owned by Lumina.
• Service Quality: Minimal solution disruption.
• Infrastructure: Seamless transition to Azure.
• Continuous innovation as measured by market adoption.
• Cross disciplinary execution of our platform to align with mission.
• Training and development of new staff.

Role Responsibilities

• Oversee organizations sales strategy and corporate objectives.
• Develop plans and strategies for developing business and
achieving the company’s sales goals.
• Create a culture of success and ongoing business and goal achievement.
• Manage the sales teams, operations, and resources to deliver profitable growth.
• Manage the use of budgets.
• Define optimal SalesForce structure.
• Hire and develop sales staff.
• Become known as an employer of choice and a sales force that top sales people want to join.
• Define and oversee sales staff compensation and incentive programs that motivate the sales team to achieve their sales targets.
• Define and coordinate sales training programs that enable staff to achieve their potential and support company sales objectives.
• Manage customer expectations and contribute to a high level of customer satisfaction.
• Define sales processes that drive desired sales outcomes and identify improvements where and when required.
• Put in place infrastructure and systems to support the success of the sales function.
• Provide detailed and accurate sales forecasting.
• Compile information and data related to customer and prospect interactions.
• Monitor customer, market, and competitor activity and provide feedback to company leadership team and other company functions.
• Manage key customer relationships and participate in closing strategic opportunities.
• Travel for in-person meetings with customers and partners and develop key relationships.
• Deal sizes: Companies seeking a great VP Sales focus on experience that is aligned with the desired selling and management tasks stated in the responsibility section of the job description.

Experience

• Successful experience building a go-to-market strategy.
• Successful experience building and growing a channel.
• Successful experience entering a new market.
• Successful experience closing 6-7 figure deals.
• Successful experience monitoring and evaluating sales rep progress against stated expectations, in addition to aligning and changing behavior with performance expectations.
• Successful experience managing a team of 5 + salespeople.
• Experience managing key customer relationships and closing strategic opportunities.
• Successful experience utilizing a CRM to manage team sales tasks, pipeline, and closing data.
• Successful experience hiring and onboarding sales representatives.
• Successful experience building and managing a national and possibly global territory.
• Experience providing status reports with market and customer. feedback to the corporate leadership team.
• Demonstrated ability in all aspects of sales leadership.
• BS or MBA preferred.


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