Associate Director (Data Integration & Commercial Analytics)
At a glance
Director-level Data Engineering role at KMK Consulting. Boston · contract.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Help coordinate the integration program across its workstreams and phases
- Build working knowledge of the source data, business processes and analytics workflows
- Capture business needs as requirements, document them and bring teams into alignment
- Work with technical teams on data matching, harmonization and integration design
- Surface cross-workstream risks and dependencies, assist with testing, and update stakeholders on reporting effects
What you bring
- At least eight years in life sciences, including a background in data strategy or pharma commercial analytics
- Knowledge of pharma commercial data such as sales, claims and CRM/Veeva, or another listed dataset
- Hands-on work with major data integration or migration efforts
- Skill in converting business needs into organized technical requirements
Who this fits
This contractor engagement is aimed at an associate-director-level business analyst connecting business and technical workstreams. It runs for nine to twelve months and is scheduled to begin in mid-October.
From the employer
Associate Director (Data Integration & Commercial Analytics)
Duration: 9–12 months
Start: Mid‑October
Industry: Life Sciences / Pharma
Position Summary
A major data integration initiative is underway to incorporate a recently acquired company into an existing enterprise data ecosystem. We are looking for someone to serve as a core Business Analyst (AD level) who can connect multiple workstreams, drive clarity, and support all phases of the integration effort. The ideal candidate brings strong life sciences experience, deep data strategy expertise, and a solid understanding of pharma commercial analytics.
Responsibilities
Support all aspects of a large‑scale data integration program.
Develop a strong understanding of data sources, business processes, and analytics workflows.
Lead requirements gathering, documentation, and cross‑functional alignment.
Partner with technical teams on data mapping, harmonization, and integration design.
Identify risks, gaps, and dependencies across workstreams.
Support testing, validation, and downstream reporting impacts.
Provide clear communication and updates across stakeholders.
Qualifications
8+ years in life sciences, with experience in data strategy or commercial analytics.
Strong knowledge of pharma commercial datasets (sales, claims, CRM/Veeva, SP/HUB, payer, etc.).
Experience with large‑scale data integrations or migrations.
Ability to translate business needs into structured technical requirements.
Strong communication and stakeholder‑management skills.
Consulting experience preferred.
Preferred Skills
Background in data governance or enterprise data architecture.
Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure).
Ability to manage multiple workstreams in fast‑moving environments.
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