Job Title : Senior Tech Lead Analytics (Program / Portfolio).

Location : Bangalore, KA.

Experience Required : 14 to 16 Years.

Salary Range : As per market standards.

Role Type : Contract.

Contract Duration : 1 Year.

Company Name : VARITE India Private Limited.

About The Client : KPMG is one of the worlds leading professional services firms and the fastest growing Big Four accounting firm.

About The Job :

Internal Delivery Role Title for Sr Technical Product Manager in our Org is Sr Tech Lead; Sr Tech Lead is same as Sr Technical Project Manager or Sr Solution Architect in many other organizations. The Senior Tech Lead Analytics (Program / Portfolio) is accountable for technical strategy, delivery governance, and people leadership across multiple analytics pods or products within the Analytics CoE.

This role ensures that analytics solutions delivered across the portfolio are technically consistent and scalable, aligned to enterprise architecture and standards, delivered predictably with high quality, and built and sustained by high performing teams. The role acts as the senior technical authority for analytics delivery, partnering with Product Managers, Business Analysts, Architects, and Platform teams, while managing and developing Tech Leads and senior engineers.

Essential Job Functions :

Portfolio Level Technical Strategy & Architecture :

- Own and evolve the technical strategy for analytics across multiple pods/products.

- Define and govern enterprise level analytics architecture, including :

1. Data ingestion and integration patterns.

2. Data modeling and semantic layer standards.

3. Reporting and analytics consumption patterns.

- Drive standardization, reuse, and simplification to reduce technical debt.

- Review and approve technical designs for major initiatives and cross pod solutions.

Program / Portfolio Delivery Governance :

- Provide technical oversight across multiple analytics pods.

- Ensure consistent application of :

1. Design standards.

2. Coding and modeling best practices.

3. Data quality and validation frameworks.

- Own technical risk management at portfolio level (dependencies, scalability, performance).

- Act as final technical escalation point for complex delivery issues.

Partnership with Product, BA & Architecture Leadership :

- Partner with Product Managers to align portfolio roadmaps with technical feasibility.

- Work with Senior Client to ensure KPI frameworks and metric logic are technically sound and scalable.

- Collaborate with Solution / Enterprise Architects to ensure alignment with platform strategy, security, compliance, and governance standards.

- Influence prioritization decisions by articulating technical trade offs and impacts.

Hands On Technical Leadership (Selective, High Impact) :

- Step in hands on for complex architecture decisions, large migrations / rationalization efforts, and cross domain analytics solutions.

- Guide teams on SAP BW / HANA / S/4 data models, data warehousing, Lakehouse, DataLake, ETL / ELT patterns, and cloud analytics platforms (AWS, Snowflake, etc.).

- Ensure analytics platforms are future ready, not just fit for current use cases.

Analytics Technical Solution Ownership :

- Own the end to end technical design of analytics solutions within assigned pods or products.

- Define future state analytics architecture, including data flows, integration patterns, and semantic layers.

- Review and approve data models, pipelines, and reporting architectures.

- Ensure solutions are scalable, performant, reusable, and maintainable.

Team Leadership & Mentorship :

- Leadership of Tech Leads & Senior Engineers.

- Line manage and mentor Tech Leads and senior analytics engineers.

- Set clear expectations for technical ownership, delivery accountability, and quality standards.

- Coach Tech Leads on decision making, stakeholder communication, and balancing speed vs sustainability.

Talent Development & Capability Building :

- Build a strong analytics engineering leadership bench.

- Define and drive skill development paths for data engineering, BI & semantic modeling, and cloud and platform capabilities.

- Identify skill gaps and partner with CoE leadership on hiring strategy, upskilling plans, and vendor augmentation where required.

Culture, Ways of Working & Engineering Excellence :

- Champion product based delivery and engineering discipline.

- Promote strong collaboration across Product, BA, Engineering, and Platform teams.

- Embed a culture of ownership, reuse over reinvention, and data quality and reliability.

- Act as a role model for technical and people leadership.

Qualifications :

Functional & Domain Experience :

- 1416+ years in analytics, data engineering, or BI.

- Proven experience leading large scale analytics programs or portfolios.

- Strong domain exposure in Supply Chain, Manufacturing, Retail, Sales, Finance, or Operations.

- Experience delivering enterprise scale analytics solutions.

Technical Skills :

- Strong hands on experience with : ETL / ELT, Cloud platforms (AWS, Snowflake, Open source), Databricks, Open Source, SAP Analytics (BW, HANA, S/4), Data Warehousing.

- Strong grasp of data modeling and semantic layers, analytics performance and scalability, and integration patterns across heterogeneous source systems.

- Experience with BI platforms (Power BI, Looker, Tableau, Qlik, etc.).

- Support complex data analysis, troubleshooting, and solution rationalization.

- Guide teams in modern analytics and data engineering practices.

Soft Skills :

- Proven people management experience with senior technical staff.

- Strong influencing skills across business and technology leadership.

- Ability to communicate complex technical concepts in business terms.

- High ownership mindset with enterprise level thinking.

- Comfortable operating in ambiguity and driving clarity at scale.

- Excellent communication and stakeholder management skills.

- Ability to influence without authority.

- Strong coaching, mentoring, and feedback skills.

- Ability to influence and motivate teams without micromanagement.

- Strong communication and conflict resolution skills.