Revenue Partnerships in Chennai

We are looking for an energetic and ambitious Business Development Executive to join our team. This role is ideal for fresh graduates or candidates with up to 1 year of experience who are eager to build a career in business development. The selected candidate will be responsible for identifying potential clients, maintaining relationships, and assisting in the expansion of our consultancy services. Key Responsibilities: Identify and develop new business opportunities through market research, networking, and lead generation. Reach out to prospective clients through calls, emails, networking, and follow-ups to convert leads into clients. Build and maintain strong relationships with clients to ensure their satisfaction Negotiate contracts and close deals to drive revenue growth. Collaborate with internal teams to ensure seamless service delivery. Keep track of industry trends and market conditions. Prepare and present sales reports, forecasts, and performance analyses. Stay informed about industry trends and manage the company’s social media accounts. Key Requirements: Bachelor's degree in Business, Marketing, or a related field Strong communication and interpersonal skills Self-motivated and goal-oriented with a proactive attitude Ability to work independently as well as part of a team Willingness to travel for business events and job fairs

Site Toll Operations Executive (Roads) manages toll operations with a focus on quality assurance and traffic flow optimization. Executes strategies to enhance operational efficiency, resolve user complaints, and ensure compliance. Provides technical support, conducts surveys, and prepares reports to maintain high standards of service and revenue integrity. Source: Adani Group | Job ID: 55025

The purpose of the role is to drive new business growth in Adani’s business across the Freight Operations - Bulk & ODC segment. The Vertical Sales Manager will ensure the accomplishment of the sales targets and drive the product sales expertise to optimize team results. The role will be accountable for sales strategy, sales processes and achieving sales revenue targets across sales channels and will be responsible for business development strategy & planning which includes identifying, evaluating and negotiating new sales and market growth opportunities. Source: Adani Group | Job ID: 48014

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As part of WPP’s multi‑year Enterprise Technology transformation, the Global CRM Programme is a foundational capability underpinning client, commercial, and data‑driven growth. The consolidation of multiple CRM solutions into a single platform introduces significant systems integration and data complexity, including: diverse legacy systems and interfaces inconsistent client, revenue, and pipeline data, varying agency and market integration patterns A dedicated Systems & Data Integration Lead is required to: define a coherent integration and data strategy prevent point‑to‑point, market‑specific solutions ensure CRM becomes a trusted system of record enable scalable adoption of AI, analytics, and cross‑platform capabilities. The Systems & Data Integration Lead is accountable for defining and governing the integration and data landscape for WPP’s Global CRM Programme, which is consolidating multiple legacy CRM platforms into a single, enterprise‑wide Microsoft Dynamics–based solution. The role ensures the global CRM platform integrates effectively with the wider enterprise ecosy

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. About TEGNA TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news. Data Scientist TEGNA is seeking a highly skilled, innovative, and analytical Data Scientist to lead end-to-end development of advanced models and insights across our multi-platform media ecosystem spanning TV, digital, streaming, social, and mobile. This role is central to transforming large-scale viewership, content, and sales datasets into predictive models, optimization frameworks, and actionable insights that support content strategy, personalization, audience growth, and revenue performance. The ideal candidate is passionate about experimentation, machine learning, and building scalable data and ML solutions. You will collaborate with engineering,product, editorial, sales, and analytics teams to translate complex, ambiguous business challenges into measurable, data-driven outcomes. What You’ll Do Lead the full data science lifecycle: problem framing, hypothesis development, feature engineering, model development, validation, and deployment planning. Develop and operationalize machine learning models across forecasting, personalization, c