BI Practice Leader

The candidate will have responsibilities across the following functions:
Practice Strategy and Capability Building:
Define and drive the long-term vision and roadmap for the BI practice aligned with organisational goals.
Build, mentor, and scale high-performing teams across data engineering, analytics, and visualisation.
Establish competency frameworks, skill matrices, and structured learning paths.
Drive adoption of modern data platforms, governance standards, and engineering best practices.
Foster a culture of innovation, ownership, and delivery excellence.
BI Architecture and DWH Solution Design:
Design scalable BI, analytics, and data warehouse/lakehouse architectures that meet evolving business needs.
Architect reusable and standardised data solutions across batch and real-time processing models.
Develop reference architectures, blueprints, accelerators, and reusable IP assets.
Ensure scalable architecture design with strong performance optimisation and reliability standards.
Data Engineering and Pipeline Leadership:
Lead the design and implementation of enterprise-grade ETL/ELT frameworks.
Oversee batch and real-time/streaming data processing architectures (Kafka, Spark Streaming, Flink, etc. ).
Implement ingestion frameworks for structured and semi-structured data sources.
Establish data quality, validation, lineage, and governance mechanisms.
Drive modernisation initiatives across cloud-native data ecosystems.
Visualisation and Analytics Enablement:
Provide architectural oversight for BI and visualisation solutions using tools such as Power BI, Tableau, and Looker.
Standardise dashboard frameworks and reporting best practices.
Enable analytics-ready datasets aligned with executive and operational reporting needs.
Ensure data storytelling standards for high-impact executive consumption.
Presales and Business Development:
Partner with sales teams in presales engagements and strategic pursuits.
Lead technical responses for RFPs/RFIs with compelling solution narratives.
Design and demonstrate prototypes and proofs-of-concept to prospective clients.
Provide solution estimation, architecture inputs, and pricing guidance.
Act as a trusted advisor in customer workshops and discovery sessions.
Delivery Governance and Operational Excellence:
Oversee end-to-end delivery of BI and data engineering engagements.
Ensure accountability for resource planning, utilisation, quality, and profitability.
Define KPIs and performance dashboards for practice health monitoring.
Drive governance frameworks for delivery excellence, risk mitigation, and client satisfaction.
Own practice-level revenue growth and margin optimisation.
Requirements:
Bachelor's or master's degree in computer science, information systems, data science, or a related field.
10+ years of experience in data engineering, BI architecture, or analytics leadership roles.
Strong hands-on background in data pipeline development (ETL/ELT frameworks), batch and real-time/streaming architectures, modern data warehouse and lakehouse architectures, and cloud platforms (AWS, Azure, or GCP).
Deep understanding of data modelling, dimensional schemas, and scalable architecture design.
Experience implementing data quality, lineage, and governance frameworks.
Proven experience building and scaling BI/data practices or Centres of Excellence.
Strong financial acumen with ownership of margins, utilisation, and revenue targets.
Excellent stakeholder management and executive communication skills.
Experience leading distributed and multi-disciplinary teams.
Good to Have:
Experience building accelerators, IP frameworks, or reusable BI assets.
Exposure to product-aligned BI or data platforms.
Certifications in cloud platforms or data technologies.
Industry experience across HiTech, manufacturing, logistics, or similar domains.
Strong thought leadership presence within the BI and analytics community.

Experience
10-14 yrs