MarTech CDP Specialist/Manager

Tredence is a global analytics services and solutions company. Our capabilities range from Advanced analytics and Data Management to Data Visualization, Big Data, and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement.

We do this cost-effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data.

Role - MarTech CRM & CDP Specialist/Manager
Experience - 9+ years
Required Skills : Martech, multiple Customer Data Platforms (CDP) stacks, Adobe/Salesforce,
Hybrid role from Bangalore, Chennai, Pune, Gurgaon, Kolkata
Some of the things you'll be doing :

Marketing Technology Manager Responsibilities :
- Work with clients leading marketing & CRM roles at Fortune 100 Retailers, to develop and implement CRM marketing strategy and roadmap to enhance customer engagement through targeted communication via leading CDPs and Marketing Automation Platforms
- Collaborate with stakeholders to refine, optimize campaign measurement process, and drive automation in marketing platforms.
- Leverage experience in audience management and activation to build campaign audiences in CDP and setup audience journeys across marketing channels.
- Refine segmentation, drive insights enriched profiles for targeting and lead engineering efforts for campaign audience data preparation.
- Develop and implement capabilities that facilitate access to second-party and third party data for activation.
- Act as a subject matter expert (SME) on all CRM Marketing related matters.
- Work closely with stakeholders across the organization to gather requirements and understand the underlying business problems. Serve as the bridge between business needs and analytical solutions.
- Collaboratively work with leadership and SMEs to create innovative solutions for business challenges.
- Utilize your understanding of retail data and analytics to drive decision-making.
- Utilize advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle.
- Be part of the Lead CXM and Martech engagements and strengthen the delivery by developing scalable & reusable assets, training analysts, and building a foundation.
- Assist in Opportunity identification / POV creation / Proposal for clients.
- Apply Agile methods to manage analytics projects efficiently, ensuring they deliver value quickly.
- Lead and mentor a team of data analysts and data engineers, fostering innovation and excellence.

Must-Have Skills :
- 9+ years of professional experience in Analytics, showcasing demonstrated expertise in retail, marketing, and CRM analytics projects.
- Extensive experience in creating and managing comprehensive customer profiles using Customer Data Platforms (CDP) for enhanced analytical processing and informed decision making.
- Proven track record in implementing and managing CDPs, delivering capabilities that drive significant business growth.
- Expertise in data architecture and data modeling, with a focus on CDP, CRM, paid media, social, and offline data integration.
- Deep understanding of data-driven marketing, analytics, and the application of real-time event data and associated attributes for strategic marketing initiatives.
- Experience in ad tech and web/app analytics, including implementations for cross device and omnichannel consumer experiences (will be considered as a plus)
- Proficiency in integrating paid media (e.g., DSPs, Google, Facebook) and owned media platforms (will be considered as a plus)
- Hands-on experience with Customer Data Platforms such as Adobe Experience Platform Real-Time CDP, Salesforce CDP or High Touch
- Strong understanding of customer data platforms and marketing cloud platforms
- Experience working with platforms such as GCP, Azure, AWS, Databricks, Snowflake, etc.