Job Description

Welcome to Decision Foundry - Data Analytics Division!
We are proud to introduce ourselves as a certified "Great Place to Work," where we prioritize creating an exceptional work environment. As a global company, we embrace a diverse culture, fostering inclusivity across all levels.
Originating from a well-established 19-year web analytics company, we remain dedicated to our employee-centric approach. By valuing our team members, we aim to enhance engagement and drive collective success.
We are passionate about harnessing the power of data analytics to transform decision-making processes. Our mission is to empower data-driven decisions that contribute to a better world. In our workplace, you will enjoy the freedom to experiment and explore innovative ideas, leading to outstanding client service and value creation.
We win as an organization through our core tenets. They include:
One Team. One Theme.
We sign it. We deliver it.
Be Accountable and Expect Accountability.
Raise Your Hand or Be Willing to Extend it
About the Role
We are looking for a high-performing, growth-oriented professional to join our strategic expansion team. This role is designed for an individual who possesses a rare blend of technical literacy and business acumen. You will be responsible for driving market expansion, architecting high-value solution pitches, and managing senior-level stakeholder relationships within the Analytics and AI domain.
This is a high-visibility role where you will work closely with the leadership team to convert complex technology capabilities into tangible business value for global clients. As a Strategic Growth Manager, you will be at the intersection of technology and strategy, identifying opportunities where data science and AI can drive transformational business outcomes.
Key Responsibilities:
Market Strategy & Engagement

• Define and execute sophisticated go-to-market strategies tailored to key industry verticals

• Identify high-potential opportunities and segments for market penetration
• Lead the initial engagement process with prospects and establish strong foundational relationships
• Develop market entry strategies that balance technical innovation with business viability

Consultative Solutioning * Partner with technical leads and subject matter experts to translate complex data science, AI, and engineering capabilities into structured business solutions

• Conduct solution design workshops that align technology with business objectives
• Build compelling use cases that demonstrate ROI and strategic value
• Serve as a bridge between technical teams and business stakeholders

Executive Communication * Design and develop high-impact presentations and proposals for CXO-level stakeholders

• Communicate complex technical concepts in business-friendly language
• Ensure all client-facing collateral is logically sound, visually professional, and value-driven
• Lead presentations to senior executives with confidence and technical credibility

Business Discovery * Lead structured discovery sessions with prospects to uncover pain points and business challenges

• Define project scopes based on client requirements and organizational capabilities
• Build compelling business cases that quantify the impact of analytics and AI interventions
• Document client needs and translate them into actionable project briefs

Account Growth * Actively identify expansion opportunities within the existing client portfolio

• Understand client business cycles and anticipate technological needs
• Develop expansion strategies for key accounts to increase wallet share
• Foster long-term strategic relationships with clients

Strategic Research * Maintain a deep understanding of market trends, emerging technologies, and industry shifts

• Conduct competitive landscape analysis to identify market positioning opportunities
• Stay informed about regulatory and compliance considerations in key verticals
• Share market intelligence with leadership to inform product and service development

Requirements
Education

• Bachelor's degree in Engineering (B.Tech/B.E.) from a recognized institution.
• MBA from a Tier 1 or Tier 2 business school

Experience

• 1-3 years of experience in one or more of the following areas:

o Business Development in Analytics, AI, or Technology Services
o Pre-Sales Engineering or Solutions Architecture
o Management Consulting with focus on data-driven transformations

• Demonstrated track record of closing deals or leading successful client engagements.
• Exposure to go-to-market strategies and business case development

Technical Literacy & Analytical Skills

• Ability to logically question technical delivery plans and ensure alignment with business objectives.
• Understanding of data science, machine learning, and analytics concepts at a working level.
• Capability to assess technical feasibility and business impact simultaneously.
• Comfort with SQL, Python, or cloud platforms (AWS, Azure, GCP) is a plus.

Presentation & Communication Excellence

• Mastery of PowerPoint with ability to create executive-ready presentations.
• Proven ability to represent complex technical thoughts through clear, structured, and aesthetically professional decks.
• Exceptional command of English (written and verbal) with strong grammar and articulation.
• Experience presenting to CXO-level audiences and senior stakeholders.

Business Acumen & Growth Mindset

• Strong analytical mindset with comfort navigating P&L implications and revenue impact.
• Consultative approach to problem-solving with focus on client outcomes.
• "Hunter" mentality--self-motivated, resilient, and thriving in high-pressure environments.
• Ability to manage ambiguity and drive results in fast-paced, scaling organizations.
• Demonstrated ability to build and maintain relationships across stakeholder levels

Preferred Qualifications

• Prior exposure to the analytics, AI, consulting, or SaaS verticals.
• Experience with attribution modeling, marketing analytics, or customer segmentation.
• Familiarity with D2C, retail, or e-commerce business models.
• Track record of successfully identifying and closing mid-market to enterprise deals

Benefits
High-End Compensation
A top-tier salary package as per market standard designed for the industry's best young talent, with performance-based incentives tied to business outcomes.
CXO Exposure
Significant opportunity to work directly with senior leadership and global decision-makers. You will have visibility across the organization and the chance to shape strategic direction.
Niche Expertise
Build a career at the intersection of cutting-edge data science and strategic business development. Develop deep expertise in the rapidly evolving AI and analytics landscape.
Impact on Business
This is a "fiery" role where your individual contribution will directly impact the organization's revenue growth, market footprint, and competitive positioning. You will see the direct business impact of your efforts.
Learning & Growth
Access to best-in-class training, mentorship from senior leaders, and opportunities to work on transformational client projects. Exposure to emerging technologies and industry best practices.
Culture & Collaboration
Join a team of high-performing professionals passionate about solving complex business problems with data and AI. Collaborative environment that values innovation and strategic thinking.
Success Metrics & Key Performance Indicators

• Pipeline Generation: Successful identification and qualification of high-value opportunities within target verticals.
• Conversion Rate: Percentage of qualified leads converted into signed engagements.
• Average Deal Size: Revenue value of contracts closed.
• Client Satisfaction: CXO feedback and Net Promoter Score (NPS) from client engagements.
• Expansion Revenue: Incremental revenue generated from existing client accounts.
• Presentation Quality: Executive feedback on clarity, impact, and professionalism of client-facing materials

Application Requirements
To be considered for this role, please submit:
1. Resume/CV: Highlighting relevant experience in business development, pre-sales, or consulting
2. Cover Letter: Describing your interest in the Analytics and AI space and specific examples of how you have driven business growth
3. Portfolio of Materials: Examples of presentations, proposals, or business cases you have developed (anonymized if necessary)
4. References: Contact information for previous managers or clients who can speak to your capabilities
Equal Opportunity Statement
We are committed to building a diverse and inclusive team. We welcome applications from candidates of all backgrounds and are an equal opportunity employer. We provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, gender identity, sexual orientation, marital status, or veteran status.

Skills Required