Applied Data/AI Research

25F The Globe Tower, Philippines

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At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

In Globe Telecom’s B2B Sales Enablement and Account Management context, the Applied Data/AI Research Specialist focuses on leveraging advanced data analytics and AI methodologies to enhance sales strategies, streamline account management processes, and drive revenue growth. This role develops innovative solutions to optimize the sales pipeline, predict customer needs, and tailor services that align with client goals.

The Applied Data/AI Researcher is responsible for supporting the development of innovative data and AI solutions. This role involves assisting in the design and implementation of data and AI algorithms and models, conducting basic research under the guidance of senior researchers, and analyzing data to derive insights. The Applied Data/AI Researcher collaborates with team members to validate findings and contribute to academic papers or internal reports. Familiarity with programming languages and statistical analysis tools is required. This role is ideal for someone beginning their career in AI research, possessing a keen interest in exploring the potential of AI and data analytics in real-world applications.

DUTIES AND RESPONSIBILITIES:

1.Sales Data Research and Insights:
 

○  Analyze B2B sales trends and customer behavior using AI-driven tools.

○  Conduct predictive modeling to forecast revenue opportunities and churn risks.

2. Sales Strategy Optimization:

○  Develop algorithms that recommend optimal account strategies and upselling opportunities.

○  Create models that assess and enhance sales team performance.

3. Customer Journey Personalization:

○  Research and implement AI solutions to provide real-time, tailored recommendations for account managers.

○  Enable account teams to identify cross-sell and upsell opportunities through customer data analysis.

4. Sales Tool Enhancement:

○  Collaborate with technology teams to improve sales platforms (e.g., Salesforce, Gemini AI).

○  Implement machine learning models to automate lead scoring and prioritization.

5. Stakeholder Collaboration:

○  Partner with sales leadership to align AI research outcomes with business goals.

○  Work closely with marketing and customer success teams to synchronize data-driven strategies.

KPIs:

1.  B2B Gross Sales Revenue & EBITDA

2. Total Sales Direct Contribution Margin 

3. Management of Strategic Programs and Projects  

4. People Engagement & Development (Sales Coaching)

TOP 3-5 DELIVERABLES:

1. Strategic Training Program: Develop and implement a comprehensive Sales training program that directly correlates with enhanced sales productivity and revenue growth. Design and execute onboarding programs that shorten the time to full productivity. Facilitate regular continuous learning  sessions to address and bridge skills gaps or to introduce new sales methodologies and techniques. 

2. Digital Transformation: Utilize Salesforce and other sales tools to track and analyze sales performance, identifying trends and areas for improvement that supports a data-driven decision making process.

3. Collaboration and feedback loop mechanism: Establish alignment between Sales team and other enabling teams to create effective sales enablement content, overall sales strategy and customer satisfaction.  

SKILLS:

Strategic Planning: Develop & implement comprehensive strategic training programs that directly correlate with enhanced sales productivity & rev  growth 

Communication: Strong verbal & written comm skills to effectively convey sales enablement strategies, build and sustain relationships with all stakeholders.

Negotiation: Effective negotiation skills to secure program design & execution, resolve conflicts, achieve win-win outcomes.

Data Analysis: The ability to analyze sales data, market trends, customer insights and use statistical methods to make a more informed data-driven decision making, improved operational efficiency and enhanced customer satisfaction. 

Innovation: The ability to leverage technology, such as Salesforce and JIRA to streamline sales processes and improve key performance indicators.

EDUCATIONAL BACKGROUND: 

  • Bachelor's degree in Business Admin, Management, Engineering, Data Analytics  or a related field.

HIRING REQUIREMENTS:

Work Experience

  • 3+ years of experience in Business, Sales, Data Analytics or a related field, with demonstrated success in Agile implementation and coaching

Level of Knowledge

  • Deep understanding of Agile frameworks (Scrum, Kanban, etc.) and their practical application in sales environment

  • Analytical mindset with experience utilizing data to track progress, identify trends, and make informed decisions

  • Ability to thrive in a fast-paced, dynamic environment, embracing change and adapting strategies as needed

  • Excellent leadership, communication, and interpersonal skills, with the ability to inspire and motivate teams

  • Proven ability to coach and mentor individuals and teams, fostering a culture of continuous learning and growth

Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Data analysis Data Analytics Engineering Gemini Jira Kanban KPIs Machine Learning ML models Predictive modeling Research Salesforce Scrum Statistics

Perks/benefits: Career development

Region: Asia/Pacific
Country: Philippines

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