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Enterprise Data & Analytics Leader

Location:
Trenton, NJ, 08629
Posted:
March 12, 2025

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Resume:

CHANDRASEKHAR KESIREDDY

804-***-**** *************.*********@*****.***

CAREER PROFILE

Innovative technology executive with over 20 years of experience transforming global organizations through data-driven strategies and cutting-edge technologies. Specializes in harnessing cloud platforms, AI/ML, and big data to drive operational excellence and revenue growth. Proven ability to build and lead high-performing teams, cultivate a culture of innovation, and execute complex digital transformation initiatives. Skilled at aligning technology solutions with business goals, managing multimillion-dollar budgets, and engaging stakeholders at all levels. Committed to leveraging technology as a strategic asset to propel organizational success and industry leadership.

CORE COMPETENCIES

Digital Transformation Leadership

AI/ML & Advanced Analytics

Data Strategy & Governance

Business Intelligence

Cloud Computing

(Azure, AWS)

Product Management

Big Data Engineering

Agile Methodologies

Team Building & Leadership

Stakeholder Engagement

Budget & Vendor Management

Change Management

PROFESSIONAL EXPERIENCE

Sr. Director, Enterprise Data & Analytics

Skillsoft, Boston

Sep 2020 - Present

Leading the Enterprise Data & Analytics pillar within the CIO organization to drive data strategy, modernize data infrastructure and foster a data-driven culture that supports business transformation.

· Spearheaded the development and execution of the North Star Enterprise Data Strategy, creating a multi-year roadmap to modernize technology and establish a data-driven organization.

· Implemented a unified, cloud-based analytical infrastructure (Azure Data Lake), consolidating disparate on-premises data warehouses, improving data accessibility and operational efficiency.

· Led the consolidation of multiple BI tools into a single platform (Power BI), standardizing user experience, increasing development efficiency by 40%, and saving over $100,000 in annual OpEx spend.

· Launched an AI Center of Excellence as part of the AI Adoption & Maturity program, upskilling the organization in AI technologies and their responsible use, targeting a 5% productivity increase across the company.

· Established the company's first Data Governance Program, enabling an enterprise-wide unified approach to managing data quality, data access, and standardizing data architecture & tools, ensuring compliance with industry regulations.

· Managed cross-functional stakeholders to deliver critical initiatives, including Customer Master Data Management, ELT Scorecards, OKRs Dashboards, and operational reports.

· Transformed the organization's data delivery and management by adopting a Data Product approach and establishing an agile product organization, ensuring increased alignment of initiatives with business needs.

· Owned and managed the Annual Budget for Data & Analytics, including resource planning, infrastructure spend, services procurement and external vendor management.

· Built and led a high-performing global team of data product, engineering, and analytics professionals.

North Star Data Strategy

GenAI & GPT

Azure Data Lake

Databricks

Data Governance

Agile

Budget & Vendor Management

Director, Enterprise Data Products & Engineering

Advance Auto Parts, Raleigh

Oct 2017 – Sep 2020

Led the enterprise data strategy focused on enhancing customer engagement, driving revenue growth, and improving operational efficiency by modernizing data infrastructure, establishing process governance, and fostering collaboration across business units.

· Established and led an enterprise-wide Customer 360 initiative, driving increased customer engagement and revenue through a customer-centric data strategy.

· Led the insourcing of marketing analytical and customer data processes from an external vendor, delivering more than $3 million in annual OpEx savings.

· Implemented a modern, cloud-based Enterprise Data Lake and analytical infrastructure on AWS, providing a scalable environment for AI/ML and Big Data analytics.

· Spearheaded the in-house development of a Customer MDM/CDI solution and established a strong data governance program that ensured compliance with all customer data privacy laws.

· Executed cross-channel personalization initiatives by defining a common data and tech stack, collaborating across business lines and technology groups.

· Introduced a DataOps culture, delivering AI/ML model deployment frameworks that reduced time-to-market for analytical initiatives by 30%.

· Built a high-performing data engineering and analytics team from the ground up, partnering with HR to define new roles, career paths & talent management benchmarks.

· Managed the team's annual operating plan and secured capital budget approvals for major initiatives.

Enterprise Data Strategy

Customer 360

MDM/CDI

DataOps

AWS

Snowflake

AI/ML

Agile

Sr. Data Analysis Manager

Capital One, Richmond

Aug 2004 – Oct 2017

Progressed through leadership roles overseeing the development and modernization of data analysis, business intelligence, and monitoring infrastructures for mission-critical, multi-billion-dollar programs. Drove cloud adoption strategies, standardized analytical processes, and led teams through significant technology transformations.

· Spearheaded the modernization of data and monitoring infrastructure for the Branded Card business as part of the cloud strategy, enhancing data accessibility and supporting the organization's digital transformation.

· Led the ideation and implementation of a Data-as-a-Service (DaaS) strategy using data APIs, enabling real-time computation of business metrics and accelerating user adoption of cloud technologies.

· Established and managed monitoring frameworks for mission-critical programs, standardizing analytical processes across lines of business and supporting over 400 users.

· Directed the development of multiple business intelligence initiatives, collaborating with stakeholders to create impactful data products and solutions.

· Implemented comprehensive data management and Governance practices, improving data quality, availability, usage & accessibility, while enhancing auditability and compliance.

· Ensured continuous improvements of technical solutions, optimizing data mart designs, and approving architectural enhancements for scalability and efficiency.

· Successfully led multiple change management programs facilitating transitions to new billing systems, M&A integrations and new cloud technologies

· Managed a team of over 10 analysts and transitioned them to Agile/Scrum methodologies, improving collaboration, efficiency, and time-to-market for data initiatives.

Business Intelligence

DaaS

Data Governance

AWS

Python

Teradata

Change Management

Agile

BI Developer

Liberty Mutual Insurance, Wausau

Aug 2003 – Aug 2004

Business Intelligence consultant responsible for implementation of critical dashboards & reports to provide a comprehensive view of business performance to the stakeholders.

· Primary BI developer for Insurance reporting using Hyperion Intelligence Tools

· Responsible for meeting with Business customers, collecting requirements and prototyping and getting approval for reports

· Involved in all aspects of development cycle from developing, testing and deployment to production

Business Intelligence

Hyperion

Oracle

SQL

TECHNICAL SKILLS

Cloud Platforms Azure Cloud AWS Cloud

Programming Python PySpark SQL UNIX Shell Scripting

AI & Machine Learning Gen AI GPT LangChain Azure Open AI

Data Visualization Power BI Tableau Hyperion Business Objects

Big Data & Analytics DataBricks SnowFlake Teradata Apache Spark

PostgreSQL Talend

Collaboration Tools GitHub Jira Confluence Microsoft 365

Jupyter Power Apps Power Automate

Methodologies Agile Scrum Kanban DataOps Design Thinking

TDD Waterfall

EDUCATION

Masters in Electrical Engineering

Southern Illinois University

2000 – 2002

Bachelors in Electronics & Communications Engineering

MJCET, India

1997- 2000



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