Description
Join the Legacy of Innovation with FCI-CCM :
FCI is a leader in Customer Communication Management (CCM), empowering enterprises to deliver hyper-personalized, omnichannel, and data-driven customer experiences through its flagship platform VARTA. With a legacy dating back to 1959, FCI combines decades of communication expertise with modern technology to help clients across banking, insurance, telecom, utilities, and healthcare transform their customer engagement into a strategic growth engine.As Vice President Engineering, you will transform FCIs engineering function into a predictable, disciplined, high-velocity product delivery engine. This is a pure execution, delivery, and engineering governance role. This is NOT an architecture role even though the position requires a technical person to lead the function.
Broad Function
Varta is building the Engagement OS for Banks across four core modulesCore, Signal, Stream, and Sensedeployed in secure BFSI environments.10 to 15 years in Engineering, including 35 years in a senior leadership role in a PRODUCT COMPANY (preferably in Enterprise Software / SaaS / Digital Transformation / BFSI Technology)
The VP Engineering Owns
- Delivery & execution of the engineering function
- Sprint discipline & engineering governance
- Predictability & quality of the product
- QA automation & SSDLC
- People leadership & coaching
- DevOps execution alignment
- Engineering maturity, hygiene, and accountability
Purpose Of The Role
To convert the engineering team into a predictable, high-discipline, high-quality product delivery organization with strong governance, stable releases, and strict engineering practices.
Roles And Responsibilities (not Limited To)
- PRODUCT DELIVERY LEADERSHIP (Primary Responsibility):
- Own end-to-end engineering delivery for all Varta modules : Core, Signal, Stream, Sense.
- Ensure sprint completion predictability.
- Establish Release Train (bi-weekly or monthly).
- Enforce code repo (git lab, git hub, etc) discipline : MR reviews, code owners, no forks.
- Maintain predictable, clean, and seamless Dev ? QA ? UAT ? Prod pipelines, ensuring stable deployments across varied client environments.
- Deliver releases that are stable, demo-ready, well-documented, and tested.
- Act as single point of accountability for product delivery timelines and quality for FCI engineering function.
- QUALITY, QA AUTOMATION & SSDLC:
- Strengthen QA with clear KPIs and measurable quality outcomes.
- Drive QA automation (API, regression, performance) integrated into CI/CD.
- Enforce SSDLC practices across modules.
- Reduce P0/P1 defects by 50% within 6 months.
- Reduce defect leakage and enforce root-cause engineering ownership.
- ENGINEERING PROCESS, GOVERNANCE & MATURITY:
- Implement strong engineering governance frameworks :
- DoR, DoD
- Estimation playbook
- Story grooming cadence
- Strong Jira discipline
- Structured Dev?QA handoffs
Ensure All Features Follow
- Approach notes
- Acceptance criteria
- Test plans
- Release notes
- Fix broken engineering processes with a proven playbook.
- Build a culture of transparency, speed, discipline, and accountability. So engineering is able to ship out world class and quality products.
- ENGINEERING TEAM LEADERSHIP:
- Directly lead Backend, Frontend, QA Leads, and Solution Architecture teams along with Scrum Masters and TPM/PMO, ensuring alignment, technical clarity, and disciplined execution across all streams.
- Strong people management : coaching, mentoring, performance rigor.
- Break siloed behaviors across the team (independent islands).
- Enforce documentation, accountability, communication rigor.
- Build engineering career ladders and scale team via structured hiring (freshers, mid-level, senior).
- Hold teams accountable to engineering standards and delivery commitments.
- EXECUTION KPIs (Ownership):
- Own, monitor, and improve on various parameters (some example below)
- Sprint commitment vs completion
- Cycle/Lead time (DORA metrics)
- Change failure rate
- Product quality
- ETA adherence
- Defect leakage
- Automation coverage
- Code review SLAs
- Productization of recurring issues
- Publish weekly dashboards to CEO & CTO.
- TECH DEBT & PRODUCTIZATION:
- Maintain Tech Debt Register with Architect + CTO.
- Convert custom client-specific work into configurable product capabilities.
- Drive modernization, refactoring, simplification.
- DEVOPS EXECUTION & ENVIRONMENT STABILITY:
- Ensure QA = UAT = Prod environment parity.
- Ensure reliable DevOps pipelines, deployment readiness, automation quality.
- Improve observability, centralized logging, monitoring, metrics.
- Enable stable, predictable, near-zero-downtime deployments.
- ANY-PREM DEPLOYMENT READINESS (BANKS):
- Ensure all modules are BFSI Any-prem deployment-ready.
- Partner with Delivery teams to prepare : Installation playbooks, Configuration templates, Monitoring dashboards
- Release Management & Rollback plans
- Reduce recurring P0/P1 issues through product improvementsnot firefighting.
- CROSS-FUNCTIONAL COLLABORATION:
- Align closely with Product Manager for roadmap ? estimates ? releases.
- Work with CTO for infra, cloud costs, scalability, InfoSec.
- Support Sales/Pre-Sales with stable demo environments.
- Empower Support/L1/L2 with better debugging tools, logs, diagnostics.
CULTURAL TRAITS (Critical Fit Requirements)
We Are Looking For Someone Who
- Is ruthlessly product delivery focused
- Brings transparency, clarity, and strong communication
- Enforces disciplined engineering practices
- Thrives in high-pressure delivery environments
- Says No to unrealistic commitments
- Is not intimidated by strong senior developers
- Operates comfortably with CEO-level visibility
- Moves fast without compromising quality
- Holds teams accountable to standards
Desired Qualifications & Experience
- Bachelors or Masters degree in Engineering, Computer Science, or related field.
- 1015 years of engineering experience with at least 57 in senior leadership.
- Proven success in leading engineering teams of 40100+ people.
- Experience in enterprise SaaS, digital transformation, BFSI technology, or similar secure environments.
- Strong understanding of modern architecture - microservices, distributed systems, DevOps, CI/CD, and debugging large-scale systems.
- Experience with engineering governance (DoD, automation, code reviews).
- Strong analytical, stakeholder management, and communication skills.
- Ability to lead in a fast-paced, high-growth environment.
- Integrate AI capabilities within engineering operations to higher automation, quality & faster delivery outcomesprior experience with AI-driven engineering tools will be a strong advantage.
(ref:hirist.tech)
