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Unilever

<div>
 
 Job title -
 
 XOPs Asst Data Manager&ndash; Data Foundation | Commex
 
 
 
 Location:
 
 GDT, Bangalore
 
 
 
 About Unilever
 
 
 
 Be part of the world&rsquo;s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life &ndash; giving us a unique opportunity to build a brighter future.
 
 
 Every individual here can bring their purpose to life through their work. Join us and you&rsquo;ll be surrounded by inspiring leaders and supportive peers. Among them, you&rsquo;ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we&rsquo;ll work to help you become a better you.
 
 
 
 About Data Foundation &ndash; Context And Vision
 
 
 
 Digital &amp; Technology is transforming business, creating huge amounts of data. Our belief is that those companies that can truly harness data and deploy analytics at scale, will be those that succeed in the future. Our vision is to elevate data and data use across Unilever, to transform Unilever into a Data Intelligent enterprise, where every decision and action is powered by the best data and advanced analytics (AI) to deliver on our business goals. It&rsquo;s about empowering our employees, helping them to make smarter and faster decisions and freeing up their capacity to focus on growth and the decisions that matter. Decisions about our categories, brands, channels, key markets, and our people.
 
 
 We are helping to lead Unilever into the Future of Work, combining the best of human intelligence and machine through data-intelligent decision-making.
 
 
 
 Who we are and what we do?
 
 
 
 We are a passionate team of over 350 data experts, data scientists, information experts, technical specialists, and business analysts. We operate as &lsquo;One DF&rsquo;, made up of Global engagement and expertise teams, based in our key hubs including India, the UK, and US. Together, we combine the best of global for scale and efficiency, and local for intimacy and impact.
 
 
 
 Our Key Objectives As DF Are To
 
 
 
 <ul>
 <li>
 Set the Unilever data strategy and lay the foundations to maximise the value of our data.
 </li>
 <li>
 Deliver the connected Data Platform to accelerate access to integrated and trusted data at scale across the company for analytics and decisions.
 </li>
 <li>
 Embed core data and analytics capabilities, leading to automation, AI, and Big Data to boost Unilever&rsquo;s decision intelligence.
 </li>
 <li>
 Lead the Data and Analytics Culture to build a future-fit workforce that values and adopts data-intelligent decision-making across all levels.
 
 
 </li>
 </ul>
 We are also passionate about powering our growth with purpose, building a diverse and inclusive team and culture, for example through our #WomenInData program, and continuing to innovate in the use of data and AI to meet our sustainability goals.
 
 
 
 Main Purpose Of The Job
 
 
 
 XOPs Asst Data Manager Commex will play the pivotal role in Design and delivering Data and Analytical solutions that empower business decision making, drive efficiency through automations and process re-engineering, setup and lead end to end Devops for Finance products.
 
 
 This is a unique opportunity to establish and lead a cutting-edge connected data solution and a dynamic team, supporting the strategic and operational needs. In this role, you will build robust AI first data solutions, implement advanced analytics, and foster a data-driven culture that empowers strategic decision making.
 
 
 This role is tasked to deliver the Products (prescriptive, predictive and AI Products) across commex products domain driving maximum value from data. Define, execute, and embed the data and analytics strategy, delivering the data platform foundations needed to fuel our analytical products. Partnering with our product and BG CDIO teams to define the product roadmap, data strategy and translating the same to delivery roadmap.
 
 
 The position will be responsible for managing the end-to-end delivery of XOps for the products &ndash; Connected Data program, and other finance products. This role will ensure the seamless integration of these operations to drive efficiency, improve service delivery, and support the overall business objectives.
 
 
 
 Key Accountabilities
 
 
 
 This role will be instrumental in shaping a future-ready, data-driven organization by leading the technical enablement of scalable analytics and data solutions. This role will be part of high-performing, cross-functional team, working closely with Finance Business Analytics team, stakeholders, and senior leadership to establish best-in-class practices across data solutions, BI, and driving digital adoption in Finance.
 
 
 
 XOPS Delivery
 
 
 
 <ul>
 <li>
 Lead Devops of analytical products in Finance domain through 3P managed service model optimizing costs and driving efficiency
 </li>
 <li>
 Establish and enforce best practices for data governance, security, and lifecycle management
 </li>
 <li>
 Own end-to-end delivery of projects, ensuring timelines, quality standards, and stakeholder expectations are met
 </li>
 <li>
 Track and report delivery metrics, proactively identifying risks and mitigation strategies.
 </li>
 <li>
 Manage delivery-related financials, including effort estimation, resource planning, and budget adherence.
 </li>
 <li>
 Collaborate with business stakeholders to gather requirements, translate them into technical specifications, and ensure alignment with business goals.
 </li>
 <li>
 Facilitate communication between technical and non-technical teams, ensuring transparency and shared understanding.
 </li>
 <li>
 Drive continuous improvement initiatives, including automation, documentation, and process optimization.
 </li>
 <li>
 Champion Agile or hybrid delivery methodologies, adapting them to suit project and team needs.
 </li>
 <li>
 Identify opportunities to embed and leverage AI capabilities into Data solutions to improve efficiency and insight generation.
 </li>
 <li>
 Stay current with emerging AI trends and evaluate their applicability to ongoing projects, fostering a culture of innovation and continuous improvement.
 
 
 </li>
 </ul>
 
 Solution Architecture &amp; Design
 
 
 
 <ul>
 <li>
 Work closely with engineering, data science, and XOps delivery teams to create architecture blueprints aligned with enterprise and CoE standards.
 </li>
 <li>
 Guide POCs and MVPs to validate ideas quickly and drive scale-up of successful initiatives.
 </li>
 <li>
 Guiding delivery and OPS teams to achieve architecture/code optimization and cost savings through Agentic AI
 
 
 </li>
 </ul>
 
 Data Architecture
 
 
 
 <ul>
 <li>
 Ensure data architecture supports interoperability across internal systems and external partners.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 
 Experience and qualifications required:
 
 
 
 <ul>
 <li>
 Hands-on with Azure ecosystem like Data Factory, Synapse, Databricks, and Data Lake.
 </li>
 <li>
 Azure experience (ADF, ADB), experience and deep understanding of Agile/DevOps/ML development lifecycle from conception to delivery in Data &amp; Analytics area
 </li>
 <li>
 Good understanding of data modelling and building clean, scalable pipelines.
 </li>
 <li>
 Experience with ETL tools and integrating data from multiple sources.
 </li>
 <li>
 Strong knowledge of data management, data warehousing, and big data technologies.
 </li>
 <li>
 Proficiency in data analytics tools and programming languages such as Python, R &amp; SQL
 </li>
 <li>
 Strong knowledge of data visualization tools such as Power BI, Figma, Paginated Reports or similar.
 </li>
 <li>
 Familiar with data security, governance, and compliance standards.
 </li>
 <li>
 Experience in performance tuning and cost optimization
 </li>
 <li>
 Proven ability to establish, lead and develop high-performing teams.
 </li>
 <li>
 Familiar with Agile methods, project planning, and managing timelines.
 </li>
 <li>
 Experience in developing Web applications will be an added advantage
 
 
 </li>
 </ul>
 
 Must have competencies
 
 
 
 <ul>
 <li>
 Can work well with stakeholders and business teams.
 </li>
 <li>
 Strong in communication and solving real-world problems.
 </li>
 <li>
 Passion for high performance
 </li>
 <li>
 High level of integrity and professionalism.
 </li>
 <li>
 Strategic thinker with a proactive approach.
 </li>
 <li>
 Ability to work collaboratively with cross-functional teams.
 </li>
 <li>
 Excellent organizational and time management skills.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Strong track record of working with senior business management to drive definition, alignment, data operating foundations to address complex business questions
 </li>
 <li>
 Strong supplier management skills / ability to work with multiple providers
 
 
 </li>
 </ul>
 
 Desired
 
 
 
 <ul>
 <li>
 Proven capability in managing teams
 </li>
 <li>
 Experience working with Agile Delivery Principles
 </li>
 <li>
 Data Governance understanding preferred
 </li>
 <li>
 Data Privacy and Quality understanding preferred
 </li>
 <li>
 Proven record of experience delivering Data / Analytics Solutions in procurement space.
 
 
 </li>
 </ul>
 
 Standards Of Leadership Required In This Role
 
 
 
 <ul>
 <li>
 Personal Mastery
 </li>
 <li>
 Agility
 </li>
 <li>
 Passion for High Performance
 
 
 </li>
 </ul>
 
 Key Skills - Essential
 
 
 
 <ul>
 <li>
 Business intimacy with Finance &amp; Commex
 </li>
 <li>
 Analytical thinking and problem solving
 </li>
 <li>
 Data visualisation
 </li>
 <li>
 Data Modelling
 </li>
 <li>
 Agile Delivery
 </li>
 <li>
 Azure Experience
 </li>
 <li>
 Business Process
 </li>
 <li>
 Business partnering
 </li>
 <li>
 Program &amp; Project Management
 </li>
 <li>
 Organizational awareness and knowledge of business organization structure
 </li>
 <li>
 Vendor Management
 
 
 </li>
 </ul>
 
 Key Behaviours
 
 
 
 <ul>
 <li>
 Care Deeply
 </li>
 <li>
 Stay Three Steps Ahead
 </li>
 <li>
 Focus on What Counts
 </li>
 <li>
 Deliver with Excellence
 
 
 </li>
 </ul>
 
 Key interfaces
 
 
 
 
 Internal
 
 
 
 <ul>
 <li>
 Business Domain Product teams
 </li>
 <li>
 BG CDIO teams
 </li>
 <li>
 Data Foundation Center of Excellence teams / Other XOPs teams
 
 
 </li>
 </ul>
 
 External
 
 
 
 <ul>
 <li>
 Vendor Partners
 
 
 </li>
 </ul>
 
 Please Note
 
 
 
 
 All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent&mdash;please verify before proceeding
 
</div>

XOPs Asst Data Manager

Myntra

<div>
 
 About The Company
 
 
 
 
 Who are we?
 
 
 
 Myntra is India&rsquo;s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we&rsquo;ve always believed in disrupting the ordinary.
 
 
 We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We&rsquo;re bold in our thinking, agile in our execution, and collaborative in spirit.
 
 
 Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.
 
 
 We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.
 
 
 From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.
 
 
 Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.
 
 
 As a Lead Associate - Business Analytics with 4-6 years of experience, your role will encompass overseeing and driving business intelligence initiatives, managing data analytics programs, demand forecasting and planning for revenue and traffic for key businesses of Myntra, program management of key growth projects and leading cross-functional teams to achieve organizational objectives. Your expertise in interpreting data, developing insights, implementing strategic solutions and critical program management will play a vital role in optimizing business performance.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Derive business intelligence strategies to meet organizational goals.
 </li>
 <li>
 Manage data analytics programs to extract meaningful insights and drive informed decision-making.
 </li>
 <li>
 Use planning tools, MS excel, google sheets for demand, revenue and traffic planning and forecasting for key businesses
 </li>
 <li>
 Negotiate and program manage with central team for demand and traffic planning.
 </li>
 <li>
 Oversee the design and execution of BI tools and dashboards for effective data visualization (if the need arise)
 </li>
 <li>
 Collaborate with key stakeholders to understand business requirements and translate them into actionable solutions
 </li>
 <li>
 Ensure data accuracy, integrity, and security across all platforms.
 </li>
 <li>
 Monitor and analyze BI, business and analytics performance metrics to identify areas for improvement and optimization.
 </li>
 <li>
 Provide strategic guidance and recommendations based on data-driven insights.
 </li>
 <li>
 Liaise with critical cross functional teams such as category management, product management, storefront team, marketing analytics team and BI team to own and lead end to end projects relevant to the business
 </li>
 <li>
 Stay abreast of industry trends and emerging technologies in business intelligence and data analytics and forecasting
 
 
 </li>
 </ul>
 These responsibilities underscore the critical role you will play in shaping the business landscape and driving data-driven decision-making within the organization. Your ability to synthesize complex data sets, communicate effectively with diverse stakeholders, and drive business impact will be instrumental in driving success as a Business Analytics and Program Manager.
 
 
 
 Required Skills
 
 
 
 sql, advanced sql, python, tableau
 
 
 
 Required Education
 
 
 
 B.Tech
</div>

Lead Associate - Business Analytics

Manager - Data and AI Programs

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Job Summary
 
 
 
 eBay is seeking a strategic, analytical, and people-focused
 
 Reconciliation Operations Manager
 
 to lead a growing team focused on ensuring the financial integrity of our payments systems. The role will work closely with the global Reconciliation Operations organization and leadership to ensure global process alignment, effective knowledge transfer, and joint ownership of reconciliation goals and standards. This role combines operational excellence, data-driven problem solving, and people leadership, supporting both day-to-day reconciliation activities and advanced analytics including
 
 AI/ML anomaly detection
 
 .
 
 
 This position is a great fit for professionals who have led
 
 finance operations or analytics teams or production support team
 
 , worked with
 
 big data platforms
 
 , and enjoy driving
 
 cross-functional outcomes
 
 in a fast-paced, highly visible environment.
 
 
 
 Job Responsibilities
 
 
 
 
 Team &amp; Process Leadership
 
 
 
 <ul>
 <li>
 Manage a blended team of Reconciliation Operations Analysts and Reconciliation Data Analysts focused on transaction-level accuracy, data recovery and ledger control.
 </li>
 <li>
 Works closely with the global Team and leadership to deliver on reconciliation operation goals
 </li>
 <li>
 Oversee T+1/T+3 reconciliation cycles across global payment processors, internal systems, and ledger platforms.
 </li>
 <li>
 Drive SOP compliance and internal control readiness (e.g., SOX), including documentation for audit support.
 
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with Engineering, Product Managers, Finance Controllers, Risk, and Compliance teams.
 </li>
 <li>
 Review exception reporting and analysis with accounting.
 </li>
 <li>
 Follow the SOP global recon teams created to ensure alignment on reconciliations and reporting standards.
 
 
 
 </li>
 </ul>
 
 Technical Oversight
 
 
 
 <ul>
 <li>
 Strong problem solving and issue investigation skill in production
 </li>
 <li>
 Provide strategic direction for data automation, Python/SQL scripting, and Big Data analysis to improve reconciliation coverage and efficiency.
 </li>
 <li>
 Review and guide implementation of machine learning models for anomaly detection, failure prediction, and reconciliation intelligence.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience in financial operations, reconciliation, data analytics, or payments ecosystems
 </li>
 <li>
 4+ years of experience managing high-performing teams in a cross-functional environment
 </li>
 <li>
 great team ability to work across multiple offices and time zones in a very diverse setting.
 </li>
 <li>
 Strong tech background especially skills in SQL, Python, and familiarity with Big Data technologies (Hive, Spark, BigQuery)
 </li>
 <li>
 Knowledge of accounting flows, journal entries, and reconciliation automation
 </li>
 <li>
 Demonstrated understanding of AI/ML models (e.g., classification, clustering, anomaly detection)
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in e-commerce, fintech, or payments operations
 </li>
 <li>
 Hands-on exposure to BI/reporting tools (Tableau, MicroStrategy, Power BI)
 </li>
 <li>
 Proven ability to scale data-driven reconciliation solutions across multiple payment channels and geographies
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Manager, Reconciliation Operations

Sigmoid

<div>
 
 
 About Sigmoid:
 
 
 
 
 
 Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world&rsquo;s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.
 
 
 
 
 
 Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a &lsquo;Leader&rsquo; in ISG&rsquo;s Specialty Analytics Services for Supply Chain (2024), a two-time &lsquo;India Future Unicorn&rsquo; by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.
 
 
 
 
 
 Director - Data Analytics:
 
 
 
 This role will be a leadership position in the data science group at Sigmoid.
 
 
 An ideal person will come from a services industry background with a good mix of experience in solving complex business intelligence and data analytics problems, team management, delivery management and customer handling. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. The role is part of the leadership team and includes accountability for a part of her/his team and customers. The person is expected to be someone who can contribute in developing the practice with relevant experience in the domain, nurturing the talent in the team and working with customers to grow accounts.
 
 
 
 
 
 
 Responsibilities Include
 
 
 <ul>
 <li>
 Build trust with senior stakeholders through strategic insight and delivery credibility.
 </li>
 <li>
 Ability to translate ambiguous client business problems into BI solutions and ability to implement them.
 </li>
 <li>
 Oversight of multi-client BI and analytics programs with competing priorities and timelines, while collaborating with Data Engineering and other functions on a common goal.
 </li>
 <li>
 Ensure scalable, high-quality deliverables aligned with business impact.
 </li>
 <li>
 Help recruiting and onboarding team members; directly manage 15 - 20 team members.
 </li>
 <li>
 You would be required to own customer deliverables and ensure, along with project managers, that the project schedules are in line with the expectations set to the customers.
 </li>
 </ul>
 
 
 
 
 
 Experience and Qualifications
 
 
 <ul>
 <li>
 15+ years of overall experience with a minimum of 10+ years in data analytics execution.
 </li>
 <li>
 Strong organizational and multitasking skills with the ability to balance multiple priorities.
 </li>
 <li>
 Highly analytical with the ability to collate, analyze and present data and drive clear insights to lead decisions that improve KPIs.
 </li>
 <li>
 Ability to effectively communicate and manage relationships with senior management, other departments and partners.
 </li>
 <li>
 Mastery of BI tools (Power BI, Tableau, Qlik), backend systems (SQL, ETL frameworks) and data modeling.
 </li>
 <li>
 Experience with cloud-native platforms (Snowflake, Databricks, Azure, AWS), data lakes.
 </li>
 <li>
 Expertise in managing compliance, access controls, and data quality frameworks is a plus.
 </li>
 <li>
 Experience working in CPG, Supply Chain, Manufacturing and Marketing domains are a plus.
 </li>
 <li>
 Strong problem-solving skills and ability to prioritize conflicting requirements.
 </li>
 <li>
 Excellent written and verbal communication skills and ability to succinctly summarize the key findings.
 </li>
 </ul>
 
 
</div>

Director Analytics

Reliance Retail

<div>
 
 
 🚀 Product Manager - Data &amp; Analytics Focus - RRVL One Tech
 
 
 
 
 
 
 RRVL One Tech is seeking an experienced and analytically rigorous
 
 Product Manager
 
 to drive the strategy and execution of our e-commerce products. This role requires
 
 2+ years of relevant Product management experience
 
 , ideally in online e-commerce, with a strong emphasis on data-driven decision-making.
 
 
 
 
 
 
 Core Mandate &amp; Responsibilities
 
 
 
 As a Product Manager, you will manage the complete product lifecycle, ensuring customer empathy guides every decision. Your key responsibilities include:
 
 <ul>
 <li>
 Setting up and actively tracking metrics for measuring product/functional performance and championing their continuous improvement.
 </li>
 <li>
 Collaborating throughout the product development process to validate hypotheses with data, including the design and measurement of
 
 A/B experiments
 
 .
 </li>
 <li>
 Becoming the domain expert, utilizing a clear, data-driven understanding of how our users interact with the product.
 </li>
 <li>
 Building strategic partnerships with product leaders, designers, and engineers to influence and execute the product roadmap.
 </li>
 <li>
 Reviewing analytics implementation to guarantee the creation of high-quality, actionable data.
 </li>
 </ul>
 <li>
 </li>
 
 
 Mandatory Qualifications &amp; Skills
 
 
 
 Candidates must demonstrate expertise in
 
 Product building and product lifecycle management
 
 and meet the following mandatory criteria:
 
 <ul>
 <li>
 
 2+ years of relevant Product management experience
 
 , preferably in the online e-commerce domain.
 </li>
 <li>
 
 Strong understanding of product development fundamentals
 
 , including requirement gathering, roadmap planning, and working within Agile/Scrum workflows.
 </li>
 <li>
 
 Proficiency in SQL, BI tools
 
 (e.g., Looker Studio, Tableau), and
 
 Analytical tools
 
 (e.g., Amplitude, Segment, Google Analytics). This deep analytical skill set is critical.
 </li>
 <li>
 Demonstrated ability to structure analyses and generate relevant insights to achieve business and product goals.
 </li>
 <li>
 Experience collaborating with and influencing cross-functional teams.
 </li>
 </ul>
 
 
 Key Requirements
 
 
 <ul>
 <li>
 Bachelor's Degree (preferably Engineering).
 </li>
 <li>
 Analytical thinking, problem-solving, and a high level of comfort with numbers.
 </li>
 <li>
 Proficiency in using AI-powered tools for research, insight generation, and competitive analysis.
 </li>
 </ul>
 
 
 
 
 If you are a Product Manager who leverages data as your core language and is ready to impact the future of e-commerce, apply now!
 
 
 
 
 
 Kindly share your CV with Simran1.Arora@ril.com
 
 
 
</div>

Product Manager

Algonomy

<div>
 
 Role: Project Manager/Program Manager
 
 
 Location: Bangalore, India
 
 
 
 
 At Algonomy, we believe the future of our economy is Algorithmic, where businesses will develop resilient, adaptive and agile decisioning abilities that will constantly test and refine AI-driven actions to create the best personal experience for every individual customer at scale.
 
 
 We aim to become the algorithmic bridge between consumers and brands/retailers, and to lead our customers through the Algorithmic transformation imperative. The name Algo-nomy signifies an expertise in algorithms. As technology evolves our lives (and our clients&rsquo;) at hyper-speed, Algonomy stands as a bold, creative and agile brand; and these are also the very qualities that every digital-first business needs in order to be successful in the new normal. We are ambitious, we create category leading solutions in our markets, and we are constantly learning, inventing and adapting to stay ahead of our industry&rsquo;s needs
 
 
 
 
 
 We are looking for an experienced
 
 Project Manager
 
 to lead end-to-end delivery of Customer Data Platform (CDP), analytics, and marketing automation implementations. The ideal candidate has strong technical program management skills, customer-facing experience, and the ability to manage cross-functional teams in fast-paced environments.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead planning, scoping, scheduling, budgeting, and execution of CDP and Marketing Automation projects.
 </li>
 <li>
 Solution to customer integration scenarios
 </li>
 <li>
 Drive implementation of ETL pipelines, analytics models, ML workflows, and real-time data integrations.
 </li>
 <li>
 Manage customer communication, expectations, escalations, and stakeholder alignment.
 </li>
 <li>
 Oversee deployment of marketing automation tools and support journey orchestration, segmentation, and multi-channel campaigns.
 </li>
 <li>
 Monitor project progress, mitigate risks, and deliver on time and within budget.
 </li>
 <li>
 Lead and mentor teams of data engineers, analysts, and functional consultants.
 </li>
 <li>
 Deliver project within budget, time lines and quality
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 12+ years in IT with 5+ years as a Project Manager delivering technical projects.
 </li>
 <li>
 Strong expertise in at least one area:
 
 CDP, data engineering, analytics, or marketing technology
 
 .
 </li>
 <li>
 Hands-on experience with one of the Marketing Automation platforms (SFMC, Adobe Campaign, Braze, MoEngage, HubSpot, Marketo).
 </li>
 <li>
 Understanding of journey orchestration, event-based triggers, segmentation, and campaign execution.
 </li>
 <li>
 Knowledge of secure data handling with encryption, access control, and compliance practices (PII/GDPR/CCPA).
 </li>
 <li>
 Knowledge of AI/ML models
 </li>
 <li>
 Experience with real-time data processing, streaming technologies, and cloud platforms.
 </li>
 <li>
 Excellent communication, stakeholder management, and problem-solving skills.
 </li>
 <li>
 Strong leadership and ability to drive outcomes independently.
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience deploying CRM or Marketing Automation solutions end-to-end.
 </li>
 <li>
 Knowledge of identity resolution, customer profile unification, consent management, and marketing governance.
 </li>
 <li>
 Domain experience in retail, fashion, grocery, or restaurants.
 </li>
 </ul>
 
 
</div>

Program Project Manager

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