data product manager

GlobalData PLC

<div><h2 class="jobSectionHeader"><b>Job Title: Data Product Manager</b></h2>
<p><b>Location:</b> Bengaluru, India (Onsite)<br>
<b>Employment Type:</b> Full-Time<br>
<b>Reports To:</b> Director &ndash; Tech and Product</p>
<p><b>Who we are&hellip;</b></p>
<p>GlobalData is a specialist information services business on a mission to help our clients decode the future, make better decisions and reach more customers. Using our unique data, expert analysis and innovative solutions we deliver intelligence on the world&rsquo;s largest industries for companies, government organisations and industry professionals.</p>
<p>We began our journey in 2016, by combining a diverse range of specialist information services companies, with decades of trusted customer relationships and deep sector specialisms. Today, we operate as a single company and one fully integrated platform, with more than 3,500 colleagues worldwide, across 20+ industries, delivering value for over 5,000 customers.</p>
<p><b>Why join GlobalData?</b></p>
<p>GlobalData is at a pivotal point in its growth journey. Following multiple acquisitions and having recently received transformational investment we need curious, ambitious, courageous people to support us in achieving our vision of becoming the world&rsquo;s trusted source of strategic industry intelligence.</p>
<p>Our big ambitions mean that life at GlobalData is fast paced, entrepreneurial and rewarding. We recognise the collective power of our people, and it&rsquo;s the collaboration of our teams that have shaped our success and will continue to do so in the future.</p>
<p><b>About the Role:</b></p>
<p>As a <b>Product Manager &ndash; Data Strategy</b>, you will be part of the tech leadership team, driving the data strategy and data discovery function, which forms the foundation for trends analysis at AI Palette. You will play a crucial role in ensuring data completeness, quality, and agility while contributing to the overall growth and scalability of the AI Palette platform.<br>
</p><p><b>What you&rsquo;ll be doing&hellip;</b></p><br>
<p><br>
<b>Product Management:</b></p>
<ul><li>Lead initiatives to enhance data completeness and improve actionable insights on the AI SaaS platform.</li>
<li>Co-design and launch new growth modules in CPG and beyond verticals that contribute to revenue expansion.</li>
<li>Work cross-functionally with engineering, data science, and business teams to translate data capabilities into tangible product enhancements.</li>
</ul><h3 class="jobSectionHeader"><b>Data Strategy &amp; Discovery:</b></h3>
<ul><li>Establish and scale strategic data partnerships to improve agility in data collection and reduce dependency risks.</li>
<li>Design and implement a Data Quality Management Program to enhance data discovery and trends identification.</li>
<li>Develop frameworks for identifying and integrating new data sources to strengthen AI Palette&rsquo;s trend prediction models.</li>
</ul><h3 class="jobSectionHeader"><b>Leadership &amp; Collaboration:</b></h3>
<ul><li>Act as a thought leader in data strategy, shaping AI Palette&rsquo;s approach to data-driven insights.</li>
<li>Work closely with engineering and data teams to refine data ingestion, storage, and processing pipelines.</li>
<li>Partner with customer success and marketing teams to ensure data-driven insights are effectively translated into user-centric product features.</li>
</ul>
<p><b>What we&rsquo;re looking for&hellip;</b></p>
<ul><li><b>Experience</b>:
<ul><li>5+ Years f experience in Product Management, Data Strategy, or a related role in AI or SaaS</li>
<li>AI Prduct experience will be highly preferred.</li>
</ul></li><li><b>Technical Skills</b>:
<ul><li>Experience with data visualizatin tools (e.g., Tableau, Power BI, or similar) is a plus</li>
<li>Strng understanding of data pipelines, APIs, and data aggregation methodologies.</li>
<li>Experience in building and managing data partnerships t enhance data quality and completeness.</li>
</ul></li><li><b>Soft Skills</b>:
<ul><li>Ability t work with cross-functional teams, bridging the gap between data science, engineering, and business functions.</li>
<li>Prficiency in data-driven decision-making, with a track record of improving data quality and insights generation.</li>
<li>Excellent cmmunication and leadership skills, with the ability to drive initiatives at both strategic and execution levels.</li>
</ul></li></ul><h3 class="jobSectionHeader"><b>Qualifications:</b></h3>
 <ul><li>Bachelor's or Master's degree in Engineering or related fields</li>
</ul>
<p>In addition to a rewarding career, we support our GlobalData colleagues with a range of benefits across health, finances, fitness, travel, tech and more. To find out more about the roles and benefits on offer in your region, visit careers.globaldata.com</p>
<p><i>GlobalData believes strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, we are proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.</i></p></div>

Data Product Manager

Meituan

<div>
 <p>
  The Role: We're looking for a Product Manager who loves data and understands retail and on-demand logistics inside out. You&rsquo;ll be at the center of our data product efforts, building systems that make our entire operation smarter&mdash;from the moment an order comes in, through warehouse handling, all the way to the customer's door. Your work will be key to making us faster, more efficient, and more customer-focused. Key Responsibilities: 1. Design and lead our data product strategy with a focus on logistics and real-time operational control&mdash;including live inventory tracking, dynamic delivery routing, and real-time demand forecasting. 2. Monitor and analyze logistics data streams&mdash;such as order status, vehicle locations, and delivery times&mdash;to identify inefficiencies and support decisions in warehouse placement, fleet management, and last-mile operations. 3. Work closely with engineering and operations teams to build and scale real-time monitoring tools and smart logistics systems, including live dispatch dashboards, warehouse control systems, and delivery tracking platforms. 4. Implement real-time alerting and performance monitoring systems to quickly detect and resolve bottlenecks across the fulfillment process, improving delivery speed and reducing operational costs. 5. Establish and maintain strong data governance practices for all logistics-related data&mdash;ensuring accuracy and reliability across orders, inventory, shipments, and tracking information.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Requirements:
 </p>
 <p>
  1. Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Statistics, or a related discipline. 2. 3+ years of experience as a Data Product Manager, preferably within quick-commerce, retail, e-commerce, or supply chain. Experience with dark store operations is highly desirable. 3. Demonstrated success in delivering data or algorithm-driven products such as recommendation engines, pricing systems, inventory planners, or logistics optimizers. 4. Strong technical proficiency in SQL, Python (or R), and data visualization tools. 5. Exceptional project management and stakeholder alignment skills, with experience working in agile, cross-functional environments. 6. Business-minded, with a keen ability to derive value from data and a persistent focus on outcomes. 7. Passionate about tackling complex challenges in the retail and logistics sectors.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Why Join Keemart?
 </p>
 <p>
  1. Lead in a High-Growth Sector: Join the forefront of Saudi Arabia&rsquo;s q-commerce expansion, building solutions that compete with leading players like Ninja and redefine instant retail in the region. 2. Drive Core Business Functions: The data products you develop will form the central nervous system of Keemart, directly shaping profitability, scalability, and user experience. 3. Accelerate Your Career: Take on significant ownership and grow with a dynamic, high-velocity startup poised for scale. 4. Attractive Rewards: Receive a competitive compensation package, including a tax-free salary and have chance to participation in our Employee Stock Ownership Plan.
 </p>
</div>


Data Product Manager (Quick Commerce)

<div></div><div><p>BE AN ESSENTIAL PART OF EVERYDAY LIFE</p>
<p>Position: Data Product Manager (m/f/x)<br>
Contract Type: Full time- Permanent</p>
<p>Location: India</p>
<p>Are you ready to shape the future of data in supply chain operations? As a Data Product Manager at DHL Supply Chain, you will be at the heart of our data analytics transformation. You&rsquo;ll lead the design and development of scalable, secure, and interoperable data products that empower our data scientists and accelerate the implementation of impactful analytics use cases across global operations.</p>
<p><b>Your Key Accountabilities Include:</b></p>
<ul><li>Identifying, designing, and maintaining data products that support scalable analytics use cases in supply chain operations.</li>
<li>Collaborating with stakeholders to define business rules, data dictionaries, and data models across domains.</li>
<li>Ensuring data products meet organizational standards for scalability, interoperability, and security.</li>
<li>Working with domain experts and COEs to make data products accessible to authorized users.</li>
<li>Publishing and maintaining data catalogues, dictionaries, and models to support transparency and usability.</li>
<li>Monitoring usage and performance of data products to inform investment and improvement decisions.</li>
</ul><p><b>What Are We Looking For From You:</b></p>
<ul><li>6+ years of experience in data engineering, ETL, SQL/PL SQL, or data modeling for large-scale solutions.</li>
<li>Hands-on experience with Databricks, Snowflake, Azure Synapse, and other Azure components.</li>
<li>Strong understanding of supply chain IT systems, with specialization in WMS or TMS.</li>
<li>Proven ability to translate complex supply chain challenges into actionable data models.</li>
<li>Experience managing diverse and senior stakeholders across functions.</li>
<li>Proficiency in data modeling tools (e.g., Hackolade, Power Designer, ERWIN) and Agile/Scrum methodologies.</li></ul><br>
<p><b>What you'll need to do next?</b></p>
<p>If you have a proven track record of achievement to match the requirements for this role and you are looking for your next career move, simply apply online ensuring that a full up to date CV is attached with your application.</p>
<p>We will ensure that all our resourcing activities are fair, transparent and consistent across the Globe. We want to ensure that the candidate experience is of the highest professional standard.</p>
<p>The Company is committed to providing equality of opportunity for all employees. Furthermore, we aim to ensure our workplaces are free from discrimination and that not only employees but also our potential future employees are treated fairly and with dignity and respect. We will ensure that equality of opportunity maintains a high profile in our organisation.</p></div>

Data Product Manager (m/f/x)

Binance

<p><strong>Responsibilities</strong></p><ul><li><strong>Event Tracking Design &amp; Implementation</strong>: Design and structure event tracking specifications for each product iteration cycle. Ensure accuracy and effectiveness of all feature tracking implementations, preventing data gaps and inconsistencies</li><li><strong>Data Dashboard Development &amp; Maintenance</strong>: Collaborate with data teams to build comprehensive feature analytics dashboards and monitoring systems. Continuously update and optimize dashboard logic in alignment with product iterations and evolving requirements</li><li><strong>Data Insights &amp; Reporting</strong>: Identify product design pain points through in-depth data mining and analysis. Provide actionable recommendations to support feature optimization and iteration planning with data-driven insights</li><li><strong>Solution Development &amp; Execution</strong>: Translate data insights into concrete product solutions. Drive end-to-end execution by tracking development progress, ensuring complete implementation, and taking ownership of post-launch results and outcomes</li></ul>

Data Analytics Product Manager

Macquarie Group

<div><div><div><div><div><div><div><div><div><div>Macquarie Asset Management's D3E (Data, Digital, Design and Engineering) team is seeking a Data Product Manager to build Finance Data Products on our Google Cloud BigQuery data platform. The Enterprise D3E team is responsible for providing digital solutions to MAM&rsquo;s Private Credit and Fund Management teams.</div>
</div></div><div><div><div>At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You&rsquo;ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.</div>
</div></div></div></div></div><div><div><div><div>What role will you play?</div></div><div><br>
</div></div><div><div><div><div><div>In this role, you will analyze data from Finance platforms, define and prototype data models, and ensure they meet consumer needs. Collaborating with business leaders, end users, and data engineers, you will embed high-quality documentation, quality checks, and best practices into data pipelines. You will also advocate for data security, privacy, and ethical use while delivering intuitive and actionable data products.</div>
</div></div></div></div></div><div><div><div><div>What you offer</div></div><div><br>
</div></div><div><div><div><div><div><ul><li>8 - 13 years of relevant experience with excellent understanding of finance business systems or processes including financial planning and analysis and general ledger
</li><li>Proven experience of leading a team
</li><li>Strong working knowledge of SQL, databases, and data modelling techniques; strong analytical skills highly capable of deriving insights and making data-driven decisions
</li><li>Adaptability and willingness to explore new technologies and approaches
</li><li>Strong business acumen and ability to align data initiatives with business objectives</li></ul></div>
</div></div><div><div><div>We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.</div>
</div></div></div></div></div><div><div><div><div>What we offer</div></div><div><br>
</div></div><div><div><div><div><p>At Macquarie, you&rsquo;re empowered to shape a career that&rsquo;s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:</p><br>
<ul><li>
1 wellbeing leave day per year</li><li>
26 weeks&rsquo; paid maternity leave or 20 weeks&rsquo; paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks&rsquo; paid leave for secondary caregivers</li><li>
Company-subsidised childcare services</li><li>
2 days of paid volunteer leave and donation matching</li><li>
Benefits to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover, the option to join parental medical insurance plan and virtual medical consultations extended to family members</li><li>
Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services</li><li>
Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription</li><li>
Hybrid and flexible working arrangements, dependent on role</li><li>
Reimbursement for work from home equipment</li></ul>
</div></div></div></div></div><div><div><div><div>About Macquarie Asset Management</div></div><div><br>
</div></div><div><div><div><div><div>Macquarie Asset Management is a global asset manager that aims to deliver positive impact. We&rsquo;re trusted by institutions, pension funds, governments, and individuals to manage billions in assets globally. We provide access to specialist investment expertise across a range of capabilities including fixed income, equities, multi-asset solutions, private credit, infrastructure, green investments, natural assets, real estate, and asset finance.</div>
</div></div></div></div></div><div><div><div><div>Our commitment to diversity, equity and inclusion</div></div><div><br>
</div></div><div><div><div><div><div>We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.<div><div><br>
Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.</div></div></div></div></div></div></div></div></div></div></div></div>

Manager Legal & Risk Management

SatSure

<div>
 <p>
  We are looking for an
  <strong>
   Associate Product Manager &ndash; Data Products
  </strong>
  who is passionate about building data-driven solutions from the ground up. This role is ideal for someone who thrives in 0-to-1 journeys, is comfortable working with statistics, and can drive rapid prototyping alongside clients to discover product-market fit (PMF).
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About SatSure:
   </u>
  </strong>
 </p>
 <p>
  SatSure is a Series A+ startup working at the intersection of space technology, remote sensing, and AI/Computer Vision. We solve critical problems in financial inclusion for smallholder farmers, climate sustainability, and infrastructure asset monitoring. With a growing team of 150+ dreamers, our vision is to build a global satellite company that pushes the boundaries of what data from space can achieve for people and businesses on Earth.
 </p>
 <p>
  There is no playbook yet for scaling a company like ours from 50 to 500 enterprise customers&mdash;but we are writing it, and you could be part of it.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Role:
   </u>
  </strong>
 </p>
 <p>
  You will collaborate with business teams to scale solutions in specific customer segments, and work closely with data scientists to define success criteria and shape product roadmaps. While experiment design is primarily the responsibility of Data Science Managers (DSMs), you will work hand-in-hand with them to align product decisions with modelling approaches and data exploration.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Responsibilities:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Driving Product-Market Fit problem statements
  </strong>
 </p>
 <ul>
  <li>
   Lead 0-to-1 product discovery journeys to identify and validate customer problems and PMF.
  </li>
  <li>
   Engage with clients in specific segments to prototype rapidly and co-create solutions.
  </li>
  <li>
   Evolve prototypes into scalable, common data product roadmaps.
  </li>
  <li>
   Apply first-principles thinking and high agency in problem-solving.
  </li>
 </ul>
 <p>
  <strong>
   Collaboration with Data Science
  </strong>
 </p>
 <ul>
  <li>
   Work closely with Data Science teams to iterate through experiments.
  </li>
  <li>
   Support DSMs in defining modelling success criteria while they decide on modelling approaches, sensor data, and feature exploration.
  </li>
  <li>
   Partner with data scientists to monitor model and product performance against defined criteria.
  </li>
 </ul>
 <p>
  <strong>
   Product Development &amp; Roadmap
  </strong>
 </p>
 <ul>
  <li>
   Translate early prototypes into structured product backlogs and incremental releases.
  </li>
  <li>
   Prioritize trade-offs between features, customer needs, and product scalability.
  </li>
  <li>
   Ensure continuous feedback loops with clients to refine MVPs and align with long-term product strategy.
  </li>
 </ul>
 <p>
  <strong>
   Driving Market &amp; Business Success
  </strong>
 </p>
 <ul>
  <li>
   Collaborate with business teams to help scale offerings within different customer segments.
  </li>
  <li>
   Contribute to GTM (go-to-market) strategies alongside marketing and sales teams.
  </li>
  <li>
   Ensure responsible AI practices and ethical data usage in product development.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualification:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s in technology, statistics, or a related field.
  </li>
  <li>
   1&ndash;2 years of product management, business analysis, or equivalent experience (internships or early-career roles welcome).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Must Have:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Strong comfort with statistics and data analysis to inform product decisions.
  </li>
  <li>
   High agency and first-principles thinking in approaching problems.
  </li>
  <li>
   Ability to work with rapid prototyping cycles and co-create solutions with clients. Excellent communication, interpersonal, and stakeholder management skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Good to Have:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Exposure to working with multimodal data (e.g., sensor, geospatial, text, imagery). Research background or interest in data science approaches for product development.
  </li>
  <li>
   Familiarity with AI/ML concepts, experiment design, or data products.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Benefits:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Opportunity to contribute to building futuristic data products at the intersection of AI and space technology.
  </li>
  <li>
   Flat organizational structure with strong values of empathy, problem-solving, integrity, customer focus, and ownership.
  </li>
  <li>
   Learning and skill development allowances, broadband and remote work support, medical insurance, and more.
  </li>
  <li>
   Medical Health Cover for you and your family, including unlimited online doctor consultations
  </li>
  <li>
   Access to mental health experts for you and your family
  </li>
  <li>
   Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, and bereavement leaves
  </li>
  <li>
   Twice a year appraisal
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Interview Process:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Intro call
  </li>
  <li>
   Case study
  </li>
  <li>
   Interview rounds (ideally up to 3-4 rounds)
  </li>
  <li>
   Culture Round / HR round
  </li>
 </ul>
</div>


Associate Product Manager

InMobi

<p></p><div><div><p><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</p>
<p>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</p>
<p>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company's Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</p>
<p>
At<b> InMobi Advertising</b>, you'll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</p>
</div><p></p><p><b>
Product Management at InMobi: </b>We offer an opportunity to have immediate impact with the company and our products. You shall be working at the cutting edge of technology connecting various businesses at InMobi centrally. The work that you shall do will be mission critical for InMobi and is in direct path for success of multiple of core product offerings in InMobi.</p>
<p>
Our Product leaders at InMobi own the business strategy behind the product by building subject matter expertise, define its functional requirements aligned to various user personas through PRDs, and drive the launch of product features by owing the management of its development cycle with peer Engineering teams. We design world-class products within one of the fastest growing companies in this space with a truly global footprint.</p>
<p>
Role:<b> </b><b>Senior Product Manager &ndash; Data &amp; AI Platform </b>for the Central Data Repository &amp; AI Platform Team</p><p><br>
As a <b>Senior Product Manager &ndash; Data &amp; AI, </b>you will be responsible for driving the roadmap for InMobi's <b>next-generation data and AI infrastructure</b> &mdash; unifying data across products, systems, and business functions while enabling the company to leverage artificial intelligence responsibly and effectively.</p>
<p>
You will work across cross-functional teams &mdash; including Engineering, Data Science, Analytics, and Business Operations &mdash; to deliver scalable platform capabilities that power automation, predictive insights, and operational excellence.</p>
<p><b>
What You'll Do</b></p>
<p><b>
1. Product Strategy &amp; Vision</b></p>
<ul>
<li>Define and evolve the product vision and roadmap for InMobi's enterprise Data &amp; AI Platform &mdash; including CDR, Unified Data Warehouse (UDW), and AI/ML enablement capabilities.</li>
<li>Align platform goals with InMobi's strategic business and data transformation objectives.</li>
<li>Identify opportunities to integrate AI across business systems to improve process efficiency, accuracy, and decision intelligence.</li>
</ul>
<p><b>2. Platform Ownership</b></p>
<ul>
<li>Own the product lifecycle for core data platform components &mdash; from data ingestion and transformation to data governance, modeling, and AI pipeline integration.</li>
<li>Collaborate with engineering teams to design and deliver scalable, secure, and efficient data and AI systems leveraging technologies such as Databricks, Power BI, and cloud-native data platforms.</li>
<li>Build foundational capabilities that enable AI experimentation, model deployment, and monitoring at scale.</li>
</ul>
<p><b>3. Execution Excellence</b></p>
<ul>
<li>Translate complex business requirements into detailed PRDs, user journeys, and data product specifications.</li>
<li>Partner closely with data engineering and AI teams to define sprint goals, manage backlogs, and ensure timely delivery.</li>
<li>Be hands-on with platform interfaces and datasets to validate requirements and drive insights during BAU and transformation cycles.</li>
</ul>
<p><b>4. Cross-Functional Collaboration</b></p>
<ul>
<li>Work closely with finance, sales, account management, and product stakeholders to design integrated data and AI solutions that serve cross-enterprise use cases.</li>
<li>Drive alignment across global teams &mdash; product, engineering, data science, and business &mdash; ensuring all dependencies are managed effectively.</li>
<li>Be the single Product POC for Engineering counterparts to define platform logic, edge cases, and implementation details.</li>
</ul>
<p><b>5. AI &amp; Analytics Integration</b></p>
<ul>
<li>Partner with AI scientists and ML engineers to prioritize and productize AI use cases that drive measurable business impact.</li>
<li>Define frameworks for responsible AI adoption, ensuring transparency, explainability, and compliance across systems.</li>
<li>Enable a self-serve analytics and AI ecosystem for users across InMobi.</li>
</ul>
<p><b>What We Expect from You</b></p>
<ul>
<li><b>Experience:</b> 9+ years overall with 7+ years in Product Management, building and scaling enterprise-level <b>data and AI products</b>.</li>
<li><b>Domain Expertise:</b> Strong understanding of <b>data warehousing, data governance, analytics platforms, and AI/ML systems</b>.</li>
<li><b>Technical Acumen:</b> Ability to work with large datasets, define data models, and collaborate with engineering teams on architecture and integrations.</li>
<li><b>Analytical Mindset:</b> Deep comfort with data-driven decision-making; familiarity with SQL, BI tools, and data pipelines.</li>
<li><b>AI Product Fluency:</b> Knowledge of ML lifecycle management, model training/deployment workflows, and AI platform integration.</li>
<li><b>Leadership:</b> Experience guiding junior PMs, leading cross-functional planning, and managing competing priorities with clarity.</li>
<li><b>Collaboration:</b> Strong stakeholder management skills, with the ability to drive consensus across global, multi-functional teams.</li>
<li><b>Execution Bias:</b> A self-starter who thrives in ambiguity, connects dots across domains, and delivers outcomes that move the needle.</li>
</ul>
<p><b>Preferred Experience</b></p>
<ul>
<li>Experience in <b>enterprise system transformation programs</b> involving CRM, ERP, and monetization platforms.</li>
<li>Familiarity with <b>data privacy, security, and ethical AI frameworks</b>.</li>
<li>Prior experience in <b>digital marketing, ad-tech, or data-driven B2B platforms</b>.</li>
</ul>
<p><b>Why Join InMobi</b></p>
<ul>
<li>Drive InMobi's <b>enterprise-wide data and AI transformation</b> and shape the future of how intelligence powers our products and decisions.</li>
<li>Collaborate with world-class teams across engineering, AI, and business to deliver high-impact solutions.</li>
<li>Work in a culture that values <b>ownership, innovation, and continuous learning</b>.</li>
<li>Be part of an organization consistently recognized as a <b>Great Place to Work</b> and one of the <b>World's Most Innovative Companies</b>.</li>
</ul>
<p><b>Industry</b></p>
<ul>
<li>Marketing &amp; Advertising</li>
<li>Data &amp; AI Platforms</li>
<li>Enterprise Software</li>
</ul>
<p><b>Job Function</b></p>
<ul>
<li>Product Management &ndash; Data &amp; AI Platform</li>
<li>Enterprise Transformation &amp; Systems Integration</li>
</ul><div><p><b>
The InMobi Culture</b></p>
<p>
At InMobi, culture isn't a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</p>
<p>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</p>
<p>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</p>
<p>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</p>
<p>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</p></div></div>

Senior Product Manager - Central Data Repository & Data Platform AI

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