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About Albertsons Companies Inc. (ACI):As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.About Albertsons India Capability Center:At Albertsons India Capability Center, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day. At the Albertsons India Capability Center, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons India Capability Center, associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.Role: Digital Product Manager - MeasurementProduct Management, Product Strategy Experience Range: 6 - 9 yearsWhat you will be doing:Albertsons Companies is re-imagining the grocery experience through a digital and customer experience transformation. We are seeking a Product Manager, Measurement to lead the strategy and execution of our campaign measurement capabilities—powering rigorous experimentation, attribution, and performance analytics across channels (email, push, RCS/SMS, on-site/app, paid media, and in-store).You will partner with marketing, Loyalty, Shopper experience data science/analytics, engineering, and channel owners to define the roadmap for how we measure campaign and product impact end-to-end. You will ensure we have reliable data foundations, clear success metrics, robust experimentation frameworks, and actionable insights that inform investment and optimization decisions at scale. The ideal candidate blends product thinking, marketing domain knowledge, and strong analytical acumen, with hands-on experience in instrumentation, experimentation platforms, and marketing measurement (incrementality, MTA, MMM).This position will be based at our Global Capability Center (GCC) in Bengaluru, India, and will interface with business stakeholders and leaders in the United States (Seattle, WA; Pleasanton, CA; Denver, CO; Plano, TX; Boise, ID).Main responsibilities:Define the product strategy and roadmap for the Measurement work stream (experimentation, attribution, and analytics enablement), partnering with PMs and business/operational leaders to support upcoming campaigns.Own the product lifecycle—from discovery and prioritization to delivery and continuous iteration—for measurement and analytics capabilities.Establish and scale an experimentation framework (A/B, multi-cell, geo tests) including guardrails, test design standards, and governance to ensure statistical rigor and operational efficiency.Partner with analytics and data science to operationalize attribution solutions (e.g., MTA, MMM, and incrementality testing) and translate outputs into marketer-friendly insights for planning and optimization.Define and drive implementation of event instrumentation and data contracts across channels and platforms to ensure complete, high-quality, privacy-safe data capture.Collaborate with engineering to build/scale pipelines, data models, and feature services that enable standardized KPIs, near real-time dashboards, and self-serve analysis.Work closely with channel managers (email, push, SMS/RCS, on-site/app, paid media) to measure campaign performance, audience quality, and creative effectiveness; identify and prioritize enhancements that materially improve ROI.Partner with upstream data providers (CDP, ESP, personalization/recommendation systems) to ensure measurability of dynamic content, audience segments, and decisioning logic.Define success criteria, KPIs, and learning agendas at the initiative and portfolio level; maintain reporting that ties outcomes to commercial impact and informs resource allocation.Lead cross-functional ceremonies and an agile delivery process with onshore/offshore teams; manage intake, backlog, and release planning for measurement features.Champion a data-driven culture by enabling self-serve analytics, documentation, training, and change management for marketers, product, and merchandising partners.Ensure compliance with privacy, consent, and data governance standards in collaboration with Legal, Security, and Data Governance.Required Qualifications:Bachelor’s degree or equivalent in Marketing, Analytics, Engineering, or related field.4+ years in product management or marketing technology, with at least 3 years focused on measurement/experimentation/attribution for consumer-scale businesses.Demonstrated experience standing up or scaling experimentation platforms and processes (A/B testing tools, experimentation services, or geo/incrementality testing).Hands-on familiarity with marketing data and platforms (e.g., Salesforce Marketing Cloud, Sinch, Growth Loop or similar CDPs), and analytics stacks (Adobe Analytics, Google Analytics/GA4, Amplitude, or similar).Proven ability to define tracking plans, event taxonomies, and data contracts; experience working with data engineering to productionize pipelines and models.Strong analytical and strategic skills; able to translate business questions into testable hypotheses, measurable KPIs, and clear decision frameworks.Proficiency with analytics and BI tools (e.g., Adobe Analytics, Power BI, Looker/Tableau); comfort working with large datasets and collaborating on SQL-based analyses.Experience partnering with data science on MMM, MTA, or incrementality methods and operationalizing outputs for business users.Internet/e-commerce or retail experience preferred. Excellent stakeholder management, prioritization, and communication skills; adept at influencing without authority in a matrixed environment.Passion for building reliable, privacy-conscious measurement systems that unlock smarter decisions and better customer experiences.Nice to have:Experience with event streaming and data infrastructure (e.g., Kafka, Kinesis), and schema/version management for analytics events.Familiarity with experimentation platforms/frameworks (e.g., Optimizely, Launch Darkly, in-house platforms) and statistical concepts (power analysis, lift, false discovery rate).Exposure to media measurement, clean rooms, and identity resolution.Background in personalization and recommendation systems with clear strategies for measuring incrementality and long-term value.Understanding of privacy regulations and consent frameworks (e.g., CCPA/CPRA, GDPR) as they relate to measurement.Success metrics and impactIncreased test velocity with statistically sound designs and automated governance.Clear, standardized KPI definitions and dashboards adopted across teams.Demonstrable improvement in channel and campaign ROI through measurement-driven optimization.Shortened time-to-insight and greater marketer self-serve usage.Reliable attribution and incrementality insights informing budget allocation.Tools and ecosystem exposure:Marketing: Salesforce Marketing Cloud, Sinch (or comparable ESP/SMS platforms), Growth Loop or similar CDP.Analytics/BI: Adobe Analytics, Power BI, Looker/Tableau; collaboration on SQL-based analysis.Data: Data pipelines, event instrumentation, feature stores; collaboration with data engineering.Experimentation: A/B testing platforms, geo-testing frameworks, or in-house experimentation services.What it is like at Albertsons:Albertsons Culture Principles:Compassion: We always treat each other with kindness and respectTeam: We always suppor and recognize each otherInclusive: We always value everyone's perspectiveLearning: We always strive to grow and develop ourselves and othersCompetitive: We always act with integrity to win over the customerOwnership: We always take actions to drive our success