AVP _Research and Technology Innovation
2 weeks ago
For the position of AVP – Research and Technology Innovation
Location: Bangalore
About Evolute group -
Evolute group is a leading Indian ESDM (Electronics System Design Manufacturing) diverse
multi-business conglomerate spread across trading, electronics product design marketing across verticals like – Payment -Fintech, cleantech-energy storage and industrial electronics, softwaresolutions. Our expertise in embedded engineering power electronics, indigenous design development capabilities and market presence in 20+ countries has helped us carve a niche in the underdeveloped and developing geographic markets.
The list of customers is a testimony to its ability to combine product reliability, performance and
competitive pricing with a strong customer centricity, enabled with extensive design development expertise and leading- edge technologies, Evolute group aspires to achieve 50 % + CAGR growth in no of esteemed customers, empowered employees, top line revenue, profits for all in next 5 yearswhich includes top line revenue of 1000s.
Position: AVP – Research and Technology Innovation
As the AVP your responsibilities mission will include but are not limited to:
Lead transformative R D to drive Evolute's aggressive growth (50%+ CAGR) in Fintech
and adjacent domains, leveraging deep tech (AI/ML, IoT, Embedded Systems,
Cybersecurity) to build world-class, secure identity and payment solutions.
Establish clear expectations, hold team members accountable and incentivize proactive issue resolution to deliver world class innovative solutions.
Security Identity Management:
Ensure cutting-edge research in decentralized ID (DID), blockchain identity systems, MFA (Multi-Factor Authentication), and cybersecurity innovations.
Strategic Leadership Impact Areas:
- Identity Security Leadership: Pioneer decentralized ID (DID), blockchain identity,
MFA, and cybersecurity R D. - AI/ML Deep Tech Innovation: Spearhead development of biometrics
(face/Finger/iris/voice), fraud detection, predictive analytics, and IoT/wearables
integration. - Product IP Generation: Translate research into prototypes/PoC's/MVPs and secure
patents for novel algorithms/designs. - Tech Roadmap Transformation: Define and execute R D strategy aligned with fintech regulations and market demands.
- Integration Architecture:
Ensure seamless integration of AI, IoT data, cloud platforms, and identity solutions into
existing fintech ecosystems.
Technical Leadership
Team Building Mentoring:
Building high-performing R D teams, stakeholder management, strategic thinking.
Operational Responsibilities:-
Team Building: Foster a culture of creativity, accountability, and research excellence.
Resource Management: Optimize R D budget allocation and track project ROI.
Cross-Functional Collaboration: Bridge R D with Product, Engineering, Data Science,
and Regulatory teams.
Ecosystem Engagement: Manage vendors, academic partners, and startups for joint
innovation.
Compliance and Risk Management
Risk Assessment in New Technologies:
Evaluate technological risks (e.g., data privacy, ethical AI usage, IoT vulnerabilities) and put mitigation plans in place during the research phase.
Key Differentiators for Candidates:
Proven Impact: Demonstrate how your R D leadership directly drove product
innovation/growth in Fintech.
IP Portfolio: Highlight filed/granted patents relevant to AI, identity, or embedded systems.
Thought Leadership: Showcase conference presentations, whitepapers, or standards body
participation.
Technical Agility: Ability to connect deep tech (Embedded, AI, IoT, Security) into
cohesive solutions.
Growth Mindset: Passion for building teams and scaling innovation in a high-growth
environment.
Internal Evangelism:
Promote a culture of innovation, learning, and agility inside the organization, regularly
conducting workshops, hackathons, and ideation programs.
Stakeholder Vendor Management
Collaborate with clients, internal teams, academia and third-party vendors.
Evaluate and manage outsourcing partners and technology providers.
Desirable Traits:
AI/ML Depth: Hands-on experience in identity/fraud-focused AI model development.
Cybersecurity Identity: Mastery of secure identity frameworks (DID, MFA) and fintech
security principles.
IoT Ecosystem: Hardware/software integration for wearables/smart devices.
Cloud Data: Cloud-native architecture and big data analytics implementation.
IP Compliance: Proven patent filing experience and regulatory awareness (finance/data).
Agile R D: Project management in fast-paced, iterative research environments.
A technically deep, Passion for mentoring and evangelizing innovation is essential.
QualificationsBachelor's/Master's degree in Engineering (Electronics, Computer Science, or related field)
2. PhD-calibre leader with 15+ years' experience, blending Fintech domain expertise, hands-on AI/Embedded/IoT skills, You excel at translating market needs into IP-protected innovations while managing complex stakeholder and vendor relationships.
- Product Development, and Project Management with proven Fintech expertise.
- Jira, Git, MPP or debugging tools expertise
Technical Mastery: Embedded systems, software architecture, product lifecycle management.
Domain Knowledge: Payment systems, digital wallets, banking APIs, embedded hardware.
Leadership: Building high-performing R D teams, stakeholder management, strategic thinking.
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