Karthikeyan Palanivel Email & Phone Number

Sydney, Nsw, Au

* Oversee and shape the data strategy, governance, architecture, and analytics functions, which are crucial to the company’s success.* Drive the design, implementation, and management of data architectures and analytic solutions for customer-facing and internal team needs.* Manage and develop a high-performance team of data, analytics, and AI professionals. * Oversee managing and optimising data lakes, warehouses, and other data stores, ensuring robust data quality and governance across all platforms. * Standardise data collection and critical metric tracking by developing methods for data extraction, data transformation, database and data warehouse design, including integrating data from multiple 3rd party data systems. * As an evangelist for data-driven decision-making, you will ensure that data is leveraged as a strategic asset across the organisation.* Enhance decision-making by supporting the organisation’s strategic goals and enabling the effective use of data for AI initiatives.* Create SSOT data insights to drive company-wide financial and operational performance tracking. This includes managing financial/operational dashboards to monitor business performance and building optimised and recurring reports required by Senior Leadership. * Drive analysis for highly visible projects for the Company, including building statistical and predictive AI models.

Millers Point, Nsw, Au

★Data platform & Engineering★✔ Transformation to Big data architecture to support the next 10 years of data growth✔Design, implement and maintain a distributed data architecture that will support a wide range of (open source) tools and frameworks in production★Governance & Stewardship★✔Overall management of the availability, usability, integrity, and security of data used across the organization.✔Data stewardship team will collaborate with data architects, various operations team, business data owners and others to uphold data consistency and data quality metrics.★Insights, Reporting & Analytics.★✔Centralised reporting and analytics team to ensure a single source of truth & consistent reporting are driving decisions across the organization✔Own & build Self-service analytics tools that allow analyst in business teams to perform queries and generate reports on their own. This will enable them to potentially surface vital insights quicker and more effectively.★Data Operations & Support★✔Data engineers are responsible to churn data for internal users in the way it is needed to integrate with their strategy & plans. ✔Engineering the BI system through data warehouse automation (DWA) by transforming parallel data sources and various platforms, to one of a centralized, unified system★Data Acquisition & Integration★✔Centralised data acquisition team is responsible to find & work with data vendors to collect data on targeted contacts and market/Account intelligence while maintaining GDPR compliance. ✔Implement data mining methods and techniques including methods for data acquisition and data integration. ★Project Management - Tracking & Reporting★✔Provides project management, process improvement, and change management process expertise. ✔Responsible for Project tracking & reporting on progress, task priority queue, manage issues & Risks.

Millers Point, Nsw, Au

Data Discovery * Identify Data Sources and owners. Size data volume & Quality of data. * Identify business objectives and map data sources to the objectives * Execute data standardization rules on all data across the data sources. * Document definition of all key metrics & map the right fields to derive the metrics. * Ran sessions to document data flows through Marketing, Sales, Onboarding and Customer Billing processes * Ran process familiarisation sessions to understand the impact to data & metrics. * Ran sessions with App DevOps team to understand all SiteMinder App’s operational data architecture. This helped to design the right BI architecture to host key metrics to track Hotel & Channel reservations. BI Infrastructure - Design & Build * Data Architecture Design & implementation. * POC on multiple BI technology tools. * Implemented Bi Infrastructure build in AWS cloud. * Tableau server & Security layer Implementation * Integration data layer from multiple data sources to Redshift * End to end ETL to enable data modeling/blending from various data sources into certified SSOT layer * Automating transformation of data to summarised data tables to host metrics for insights on the following -Customer & Revenue, Board metrics, Sales Productivity, Sales quality, Rep performance, Onboarding Funnel, Sales Funnel, Marketing Funnel, Key Accounts hierarchy and hotel reservations tracking * Implement data mining solution to improve data quality on all key metrics. * End to end automation of all applications data feed to Data warehousing. Reporting & Insights * Executive & Strategic Insights. * Operational Insights with interactive drill-down capabilities * Regional Reporting to support customization to field teams. * Self Serve analytics for analyst in the teams to drill to details. * Dashboard training & Business Engagement

Palo Alto, Ca, Us

Data warehouse & Business Intelligence ArchitectData Steward - MDMData Strategy & GTM ModellingCDM Data Architect, Solution design lead & Implementer Customer & Partner Insight analysis Marketing Data AnalyticsData Visualisation Evangelist - Sales & Marketing Built the following self server interactive dashboards in Tableau.- Account 360- Partner 360- Product based GTM models- Product Adjacency Self Serve - Contact sizing dashboards- Campaign tracking dashboards- Whole set of Executive dashboards, Cadence Dashboard & speciality dashboards for Sales.

Pune, Maharashtra, In

1. Grasp the entire business logic and functional requirement. Prepare the Functional Specification accordingly. 2. User interaction on functional requirement clarifications. 3. Designing interface to 9 BANFF Procedures through the BI.

Chief Data, Analytics & Ai Officer Programme

Bachelors In Engineering, Computer Science

Bachelor'S Degree, Computer Engineering