Bigdata Strategist

Role Overview
Cybage is seeking a Practice Head for Big Data to lead and grow our data engineering and analytics capability within the Cloud, Data & AI business unit.

This is a strategic leadership role requiring a strong mix of technical expertise, practice-building ability, and client consulting experience.
The Practice Head will define the Big Data vision, shape offerings, guide client engagements, and build high-performing teams.

The role is suited for leaders who have scaled Big Data practices in IT services—whether at large or mid-size scale—and who can balance hands-on technical credibility with executive-level client engagement.
Key Responsibilities
Practice Leadership
- Define the strategic direction for Cybage’s Big Data practice, aligned to client needs and CDAI growth goals.
- Build a portfolio of offerings across modern data platforms, streaming, advanced analytics, governance, and AI/ML integration.
- Drive IP creation, accelerators, and reusable frameworks to differentiate Cybage in the services marketplace.
Client Consulting & Business Growth
- Lead consulting-grade workshops with CxO stakeholders to shape enterprise data strategies.
- Partner with sales and account teams on presales solutioning, proposals, and proactive client engagement.
- Position Cybage as a trusted advisor for Big Data transformations, with a focus on measurable outcomes.
Delivery Excellence
- Govern delivery across multiple engagements, ensuring quality, predictability, and client satisfaction.
- Drive adoption of service-based and outcome-based delivery models, balancing innovation with execution rigor.
- Provide architectural oversight across projects and guide teams on modern Big Data stacks (Databricks, Snowflake, AWS/GCP/Azure, Kafka, Spark, Delta Lake, etc.).
Team & Capability Building
- Build and mentor a high-performing practice team of architects, engineers, and managers.
- Develop future leaders by fostering technical depth and consulting skills within the team.
- Collaborate with Cloud, AI/ML, and Platform Engineering practices for integrated client solutions.
Qualifications
Experience
- 15+ years in IT services, with at least 5–7 years in Big Data leadership, architecture, or practice-building roles.
- Demonstrated ability to establish or grow a practice, including team building, offering creation, and client engagement.
- Exposure to service delivery models: managed services, consulting, and outcome-based engagements.
- Consulting experience: running executive workshops, shaping client roadmaps, and translating business needs into scalable data solutions.
Skills & Competencies
- Technical bent: strong grounding in modern Big Data architectures, with the ability to dive deep when needed.
- Strategic mindset: ability to link Big Data initiatives to business outcomes and growth metrics.
- Leadership: strong people development skills; experience building practices and leading distributed teams (even if at a modest scale).
- Client-facing presence: excellent communication and advisory skills with senior executives.