Digital Product Manager
Albertsons Companies India
- Bangalore, Karnataka
- Permanent
- Full-time
Product Management, Product Strategy Experience Range: 6 - 9 years
What 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 capabilitiespowering 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 lifecyclefrom discovery and prioritization to delivery and continuous iterationfor 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.
- Bachelors 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, GrowthLoop 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.
- Passion for building reliable, privacy-conscious measurement systems that unlock smarter decisions and better customer experiences.
- 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 impact
- Increased 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.
- 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.
Albertsons Culture Principles:
- Compassion: We always treat each other with kindness and respect
- Team: We always support and recognize each other
- Inclusive: We always value everyone's perspective
- Learning: We always strive to grow and develop ourselves and others
- Competitive: We always act with integrity to win over the customer
- Ownership: We always take actions to drive our success